TY  - JOUR
AU  - Marković, Veljko
AU  - Jakovljević, Živana
AU  - Budak, Igor
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/91
AB  - 3D scanning devices are traditionally employed in reverse engineering tasks that can be carried out semi-automatically, with user assistance. However, their application in manufacturing process control requires automatic point cloud segmentation and extraction of geometric primitives. In this paper, we propose a method for automatic recognition of planes and cylinders (most frequently encountered geometric primitives in mechanical engineering) from unstructured point clouds. The method is based on the scatter of data during least squares fitting of second order surfaces. It consists of three phases and the first phase represents automatic point cloud segmentation. The second phase deals with merging of over-segmented regions and surfaces parameters estimation, whereas the final phase provides extraction of recognized geometric primitives. The method is experimentally verified using three real-world case studies, and its performances are compared with two state of the art recognition algorithms. The results have shown that the proposed method outperforms alternative approaches in terms of appropriately recognized planes and cylinders without surface type confusion, as well as when the recognition of non-existent primitives is considered. In addition, the method determines surfaces parameters with high accuracy.
PB  - Springer, New York
T2  - Visual Computer
T1  - Automatic recognition of cylinders and planes from unstructured point clouds
EP  - 4352
SP  - 4329
VL  - 38
DO  - 10.1007/s00371-021-02299-9
ER  - 

@article{
author = "Marković, Veljko and Jakovljević, Živana and Budak, Igor",
year = "2022",
abstract = "3D scanning devices are traditionally employed in reverse engineering tasks that can be carried out semi-automatically, with user assistance. However, their application in manufacturing process control requires automatic point cloud segmentation and extraction of geometric primitives. In this paper, we propose a method for automatic recognition of planes and cylinders (most frequently encountered geometric primitives in mechanical engineering) from unstructured point clouds. The method is based on the scatter of data during least squares fitting of second order surfaces. It consists of three phases and the first phase represents automatic point cloud segmentation. The second phase deals with merging of over-segmented regions and surfaces parameters estimation, whereas the final phase provides extraction of recognized geometric primitives. The method is experimentally verified using three real-world case studies, and its performances are compared with two state of the art recognition algorithms. The results have shown that the proposed method outperforms alternative approaches in terms of appropriately recognized planes and cylinders without surface type confusion, as well as when the recognition of non-existent primitives is considered. In addition, the method determines surfaces parameters with high accuracy.",
publisher = "Springer, New York",
journal = "Visual Computer",
title = "Automatic recognition of cylinders and planes from unstructured point clouds",
pages = "4352-4329",
volume = "38",
doi = "10.1007/s00371-021-02299-9"
}

Marković, V., Jakovljević, Ž.,& Budak, I.. (2022). Automatic recognition of cylinders and planes from unstructured point clouds. in Visual Computer
Springer, New York., 38, 4329-4352.
https://doi.org/10.1007/s00371-021-02299-9

Marković V, Jakovljević Ž, Budak I. Automatic recognition of cylinders and planes from unstructured point clouds. in Visual Computer. 2022;38:4329-4352.
doi:10.1007/s00371-021-02299-9 .

Marković, Veljko, Jakovljević, Živana, Budak, Igor, "Automatic recognition of cylinders and planes from unstructured point clouds" in Visual Computer, 38 (2022):4329-4352,
https://doi.org/10.1007/s00371-021-02299-9 . .

TY  - JOUR
AU  - Vasiljević, Ivana
AU  - Obradović, Ratko
AU  - Durić, Isidora
AU  - Popkonstantinović, Branislav
AU  - Budak, Igor
AU  - Kulić, Luka
AU  - Milojević, Zoran
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3518
AB  - In recent years, digitization of cultural heritage objects, for the purpose of creating virtual museums, is becoming increasingly popular. Moreover, cultural institutions use modern digitization methods to create three-dimensional (3D) models of objects of historical significance to form digital libraries and archives. This research aims to suggest a method for protecting these 3D models from abuse while making them available on the Internet. The proposed method was applied to a sculpture, an object of cultural heritage. It is based on the digitization of the sculpture altered by adding local clay details proposed by the sculptor and on sharing on the Internet a 3D model obtained by digitizing the sculpture with a built-in error. The clay details embedded in the sculpture are asymmetrical and discreet to be unnoticeable to an average observer. The original sculpture was also digitized and its 3D model created. The obtained 3D models were compared and the geometry deviation was measured to determine that the embedded error was invisible to an average observer and that the watermark can be extracted. The proposed method simultaneously protects the digitized image of the artwork while preserving its visual experience. Other methods cannot guarantee this.
PB  - MDPI, Basel
T2  - Applied Sciences-Basel
T1  - Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors
IS  - 16
VL  - 11
DO  - 10.3390/app11167481
ER  - 

@article{
author = "Vasiljević, Ivana and Obradović, Ratko and Durić, Isidora and Popkonstantinović, Branislav and Budak, Igor and Kulić, Luka and Milojević, Zoran",
year = "2021",
abstract = "In recent years, digitization of cultural heritage objects, for the purpose of creating virtual museums, is becoming increasingly popular. Moreover, cultural institutions use modern digitization methods to create three-dimensional (3D) models of objects of historical significance to form digital libraries and archives. This research aims to suggest a method for protecting these 3D models from abuse while making them available on the Internet. The proposed method was applied to a sculpture, an object of cultural heritage. It is based on the digitization of the sculpture altered by adding local clay details proposed by the sculptor and on sharing on the Internet a 3D model obtained by digitizing the sculpture with a built-in error. The clay details embedded in the sculpture are asymmetrical and discreet to be unnoticeable to an average observer. The original sculpture was also digitized and its 3D model created. The obtained 3D models were compared and the geometry deviation was measured to determine that the embedded error was invisible to an average observer and that the watermark can be extracted. The proposed method simultaneously protects the digitized image of the artwork while preserving its visual experience. Other methods cannot guarantee this.",
publisher = "MDPI, Basel",
journal = "Applied Sciences-Basel",
title = "Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors",
number = "16",
volume = "11",
doi = "10.3390/app11167481"
}

Vasiljević, I., Obradović, R., Durić, I., Popkonstantinović, B., Budak, I., Kulić, L.,& Milojević, Z.. (2021). Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors. in Applied Sciences-Basel
MDPI, Basel., 11(16).
https://doi.org/10.3390/app11167481

Vasiljević I, Obradović R, Durić I, Popkonstantinović B, Budak I, Kulić L, Milojević Z. Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors. in Applied Sciences-Basel. 2021;11(16).
doi:10.3390/app11167481 .

Vasiljević, Ivana, Obradović, Ratko, Durić, Isidora, Popkonstantinović, Branislav, Budak, Igor, Kulić, Luka, Milojević, Zoran, "Copyright Protection of 3D Digitized Artistic Sculptures by Adding Unique Local Inconspicuous Errors by Sculptors" in Applied Sciences-Basel, 11, no. 16 (2021),
https://doi.org/10.3390/app11167481 . .

TY  - JOUR
AU  - Sokac, Mario
AU  - Budak, Igor
AU  - Katić, Marko
AU  - Jakovljević, Živana
AU  - Santosi, Željko
AU  - Vukelić, Đorđe
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3368
AB  - The paper demonstrates a novel methodology for surface extraction of multi-material components (MMCs) on industrial X-ray computed tomography (CT) datasets. The methodology is based on a combination of fuzzy C-means clustering (FCM) and region growing (RG) methods. FCM, used as a preprocessing step, allows proper classification and improvement of different objects boundaries present on industrial X-ray CT datasets. Afterwards, application of RG method enables accurate segmentation of classified and improved X-ray CT datasets. The performance of presented approach has been tested on two CT datasets acquired on an industrial X-ray CT system NIKON XT H 225. It was also compared against two commercial industrial software VGStudio Max v3.1 and GOM Inspect v2018. Obtained results from application of the proposed approach show significant improvement in surface extraction of MMCs in CT datasets, especially in cases of low-density materials such as polymers. Verification has been conducted by obtaining reference measurements using contact coordinate measuring machine (CMM) Contura G2 by CARL ZEISS.
PB  - Elsevier Sci Ltd, Oxford
T2  - Measurement
T1  - Improved surface extraction of multi-material components for single-source industrial X-ray computed tomography
VL  - 153
DO  - 10.1016/j.measurement.2019.107438
ER  - 

@article{
author = "Sokac, Mario and Budak, Igor and Katić, Marko and Jakovljević, Živana and Santosi, Željko and Vukelić, Đorđe",
year = "2020",
abstract = "The paper demonstrates a novel methodology for surface extraction of multi-material components (MMCs) on industrial X-ray computed tomography (CT) datasets. The methodology is based on a combination of fuzzy C-means clustering (FCM) and region growing (RG) methods. FCM, used as a preprocessing step, allows proper classification and improvement of different objects boundaries present on industrial X-ray CT datasets. Afterwards, application of RG method enables accurate segmentation of classified and improved X-ray CT datasets. The performance of presented approach has been tested on two CT datasets acquired on an industrial X-ray CT system NIKON XT H 225. It was also compared against two commercial industrial software VGStudio Max v3.1 and GOM Inspect v2018. Obtained results from application of the proposed approach show significant improvement in surface extraction of MMCs in CT datasets, especially in cases of low-density materials such as polymers. Verification has been conducted by obtaining reference measurements using contact coordinate measuring machine (CMM) Contura G2 by CARL ZEISS.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Measurement",
title = "Improved surface extraction of multi-material components for single-source industrial X-ray computed tomography",
volume = "153",
doi = "10.1016/j.measurement.2019.107438"
}

Sokac, M., Budak, I., Katić, M., Jakovljević, Ž., Santosi, Ž.,& Vukelić, Đ.. (2020). Improved surface extraction of multi-material components for single-source industrial X-ray computed tomography. in Measurement
Elsevier Sci Ltd, Oxford., 153.
https://doi.org/10.1016/j.measurement.2019.107438

Sokac M, Budak I, Katić M, Jakovljević Ž, Santosi Ž, Vukelić Đ. Improved surface extraction of multi-material components for single-source industrial X-ray computed tomography. in Measurement. 2020;153.
doi:10.1016/j.measurement.2019.107438 .

Sokac, Mario, Budak, Igor, Katić, Marko, Jakovljević, Živana, Santosi, Željko, Vukelić, Đorđe, "Improved surface extraction of multi-material components for single-source industrial X-ray computed tomography" in Measurement, 153 (2020),
https://doi.org/10.1016/j.measurement.2019.107438 . .

TY  - JOUR
AU  - Sokac, Mario
AU  - Vukelić, Đorđe
AU  - Jakovljević, Živana
AU  - Santosi, Željko
AU  - Hadzistević, Miodrag
AU  - Budak, Igor
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3240
AB  - This research proposes a hybrid method for improving the segmentation accuracy of reconstructed 3D models from computed tomography/magnetic resonance imaging (CT/MRI) data. A semi-automatic hybrid method based on combination of Fuzzy C-Means clustering (FCM) and region growing (RG) is proposed. In this approach, FCM is used in the first stage as a preprocessing step in order to classify and improve images by assigning pixels to the clusters for which they have the maximum membership, and manual selection of the membership intensity map with the best contrast separation. Afterwards, automatic seed selection is performed for RG, for which a new parameter standard deviation (STD) of pixel intensities, is included. It is based on the selection of an initial seed inside a region with maximum value of STD. To evaluate the performance of the proposed method, it was compared to several other segmentation methods. Experimental results show that the proposed method overall provides better results compared to other methods in terms of accuracy. The average sensitivity and accuracy rates for cone-beam computed tomography CBCT 1 and CBCT 2 datasets are 99 %, 98.4 %, 47.2 % and 89.9 %, respectively. For MRI 1 and MRI 2 datasets, the average sensitivity and accuracy values are 99.1 %, 100 %, 75.6 % and 99.6 %, respectively. The average values for the Dice coefficient and Jaccard index for the CBCT 1 and CBCT 2 datasets are 95.88, 0.88, 0.6, and 0.51, respectively, while for MRI 1 and MRI 2 datasets, average values are 0.96, 0.93, 0.81 and 0.7, respectively, which confirms the high accuracy of the proposed method.
PB  - Assoc Mechanical Engineers Technicians Slovenia, Ljubljana
T2  - Strojniski Vestnik-Journal of Mechanical Engineering
T1  - Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data
EP  - 494
IS  - 9
SP  - 482
VL  - 65
DO  - 10.5545/sv-jme.2019.6136
ER  - 

@article{
author = "Sokac, Mario and Vukelić, Đorđe and Jakovljević, Živana and Santosi, Željko and Hadzistević, Miodrag and Budak, Igor",
year = "2019",
abstract = "This research proposes a hybrid method for improving the segmentation accuracy of reconstructed 3D models from computed tomography/magnetic resonance imaging (CT/MRI) data. A semi-automatic hybrid method based on combination of Fuzzy C-Means clustering (FCM) and region growing (RG) is proposed. In this approach, FCM is used in the first stage as a preprocessing step in order to classify and improve images by assigning pixels to the clusters for which they have the maximum membership, and manual selection of the membership intensity map with the best contrast separation. Afterwards, automatic seed selection is performed for RG, for which a new parameter standard deviation (STD) of pixel intensities, is included. It is based on the selection of an initial seed inside a region with maximum value of STD. To evaluate the performance of the proposed method, it was compared to several other segmentation methods. Experimental results show that the proposed method overall provides better results compared to other methods in terms of accuracy. The average sensitivity and accuracy rates for cone-beam computed tomography CBCT 1 and CBCT 2 datasets are 99 %, 98.4 %, 47.2 % and 89.9 %, respectively. For MRI 1 and MRI 2 datasets, the average sensitivity and accuracy values are 99.1 %, 100 %, 75.6 % and 99.6 %, respectively. The average values for the Dice coefficient and Jaccard index for the CBCT 1 and CBCT 2 datasets are 95.88, 0.88, 0.6, and 0.51, respectively, while for MRI 1 and MRI 2 datasets, average values are 0.96, 0.93, 0.81 and 0.7, respectively, which confirms the high accuracy of the proposed method.",
publisher = "Assoc Mechanical Engineers Technicians Slovenia, Ljubljana",
journal = "Strojniski Vestnik-Journal of Mechanical Engineering",
title = "Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data",
pages = "494-482",
number = "9",
volume = "65",
doi = "10.5545/sv-jme.2019.6136"
}

Sokac, M., Vukelić, Đ., Jakovljević, Ž., Santosi, Ž., Hadzistević, M.,& Budak, I.. (2019). Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data. in Strojniski Vestnik-Journal of Mechanical Engineering
Assoc Mechanical Engineers Technicians Slovenia, Ljubljana., 65(9), 482-494.
https://doi.org/10.5545/sv-jme.2019.6136

Sokac M, Vukelić Đ, Jakovljević Ž, Santosi Ž, Hadzistević M, Budak I. Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data. in Strojniski Vestnik-Journal of Mechanical Engineering. 2019;65(9):482-494.
doi:10.5545/sv-jme.2019.6136 .

Sokac, Mario, Vukelić, Đorđe, Jakovljević, Živana, Santosi, Željko, Hadzistević, Miodrag, Budak, Igor, "Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data" in Strojniski Vestnik-Journal of Mechanical Engineering, 65, no. 9 (2019):482-494,
https://doi.org/10.5545/sv-jme.2019.6136 . .

TY  - JOUR
AU  - Vukelić, Đorđe
AU  - Agarski, B.
AU  - Budak, Igor
AU  - Simunović, G.
AU  - Buchmeister, B.
AU  - Jakovljević, Živana
AU  - Tadić, B.
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3098
AB  - The paper presents the new model for eco-design of fixtures based on life cycle and cost assessment. Four fixture types with different mechanical and physical properties as well as different manufacturing costs have been evaluated. The life cycle results show that the environmental impact is closely related to the mass of steel needed for fixture manufacture. On the other hand, the fixture with the largest environmental impact had the smallest total fixture cost and vice versa. The results show that it is possible to implement environmental and cost analysis in fixture design process and to enable comparative analysis of fixture constructions by three standpoints, technical, environmental and economic.
PB  - Daaam International Vienna, Vienna
T2  - International Journal of Simulation Modelling
T1  - Eco-design of fixtures based on life cycle and cost assessment
EP  - 85
IS  - 1
SP  - 72
VL  - 18
DO  - 10.2507/IJSIMM18(1)463
ER  - 

@article{
author = "Vukelić, Đorđe and Agarski, B. and Budak, Igor and Simunović, G. and Buchmeister, B. and Jakovljević, Živana and Tadić, B.",
year = "2019",
abstract = "The paper presents the new model for eco-design of fixtures based on life cycle and cost assessment. Four fixture types with different mechanical and physical properties as well as different manufacturing costs have been evaluated. The life cycle results show that the environmental impact is closely related to the mass of steel needed for fixture manufacture. On the other hand, the fixture with the largest environmental impact had the smallest total fixture cost and vice versa. The results show that it is possible to implement environmental and cost analysis in fixture design process and to enable comparative analysis of fixture constructions by three standpoints, technical, environmental and economic.",
publisher = "Daaam International Vienna, Vienna",
journal = "International Journal of Simulation Modelling",
title = "Eco-design of fixtures based on life cycle and cost assessment",
pages = "85-72",
number = "1",
volume = "18",
doi = "10.2507/IJSIMM18(1)463"
}

Vukelić, Đ., Agarski, B., Budak, I., Simunović, G., Buchmeister, B., Jakovljević, Ž.,& Tadić, B.. (2019). Eco-design of fixtures based on life cycle and cost assessment. in International Journal of Simulation Modelling
Daaam International Vienna, Vienna., 18(1), 72-85.
https://doi.org/10.2507/IJSIMM18(1)463

Vukelić Đ, Agarski B, Budak I, Simunović G, Buchmeister B, Jakovljević Ž, Tadić B. Eco-design of fixtures based on life cycle and cost assessment. in International Journal of Simulation Modelling. 2019;18(1):72-85.
doi:10.2507/IJSIMM18(1)463 .

Vukelić, Đorđe, Agarski, B., Budak, Igor, Simunović, G., Buchmeister, B., Jakovljević, Živana, Tadić, B., "Eco-design of fixtures based on life cycle and cost assessment" in International Journal of Simulation Modelling, 18, no. 1 (2019):72-85,
https://doi.org/10.2507/IJSIMM18(1)463 . .

TY  - CONF
AU  - Šokac, Mario
AU  - Budak, Igor
AU  - Jakovljević, Živana
AU  - Santoši, Željko
AU  - Vukelić, Đorđe
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5215
AB  - Uopšteno govoreći, segmentacija predstavlja postupak klasifikacije objekata od interesa i njihove ekstrakcije od pozadine, a kao postupak predstavlja neizostavan korak kod obrade slike. U okviru ovog rada biće predstavljena podela i pregled najčešće primenjivanih metoda za segmentaciju slike. Na osnovu literaturnih izvora izvršena je klasifikacija metoda u odnosu na njihov mehanizam sa kratkim opisom osnovih podela i analizom najčešće primenjivanih metoda.
C3  - ETIKUM 2018, Zbornik radova
T1  - Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike
EP  - 84
SP  - 81
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5215
ER  - 

@conference{
author = "Šokac, Mario and Budak, Igor and Jakovljević, Živana and Santoši, Željko and Vukelić, Đorđe",
year = "2018",
abstract = "Uopšteno govoreći, segmentacija predstavlja postupak klasifikacije objekata od interesa i njihove ekstrakcije od pozadine, a kao postupak predstavlja neizostavan korak kod obrade slike. U okviru ovog rada biće predstavljena podela i pregled najčešće primenjivanih metoda za segmentaciju slike. Na osnovu literaturnih izvora izvršena je klasifikacija metoda u odnosu na njihov mehanizam sa kratkim opisom osnovih podela i analizom najčešće primenjivanih metoda.",
journal = "ETIKUM 2018, Zbornik radova",
title = "Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike",
pages = "84-81",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5215"
}

Šokac, M., Budak, I., Jakovljević, Ž., Santoši, Ž.,& Vukelić, Đ.. (2018). Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike. in ETIKUM 2018, Zbornik radova, 81-84.
https://hdl.handle.net/21.15107/rcub_machinery_5215

Šokac M, Budak I, Jakovljević Ž, Santoši Ž, Vukelić Đ. Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike. in ETIKUM 2018, Zbornik radova. 2018;:81-84.
https://hdl.handle.net/21.15107/rcub_machinery_5215 .

Šokac, Mario, Budak, Igor, Jakovljević, Živana, Santoši, Željko, Vukelić, Đorđe, "Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike" in ETIKUM 2018, Zbornik radova (2018):81-84,
https://hdl.handle.net/21.15107/rcub_machinery_5215 .

TY  - CONF
AU  - Marković, Veljko
AU  - Jakovljević, Živana
AU  - Budak, Igor
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5221
AB  - U radu se predlaže metod za prepoznavanje cilindara i ravni u nestruktuiranim oblacima tačaka. Predloženi proces prepoznavanja se može podeliti u tri osnovne faze. Prvu fazu predstavlja automatska segmentacija širenjem regiona počev od jedne karakteristične tačke. Kriterijumi širenja regiona zasnovani su na osobinama singularnosti informacione matrice sistema kao i pripadnosti tačaka površi čiji su parametri estimirani metodom najmanjih kvadrata. Druga faza algoritma se odnosi na grupisanje presegmentiranih oblasti i estimaciju parametara prepoznatih cilindara i ravni. Dobre performanse ovoj fazi obezbeđuje upotreba unapređenog algoritma robusnog prepoznavanja cilindara iz oblaka tačaka kao i uvođenje procesa precizne estimacije parametara ravni. Na samom kraju, odnosno u trećoj fazi procesa upotrebom predloženog algoritma vrši se ponovna obrada celokupnog polaznog oblaka tačaka u cilju ekstrakcije prepoznatih primitiva i obezbeđivanja preciznih krajnjih rezultata. Predloženi metod je pre svega namenjen prepoznavanju cilindara i ravni u oblacima tačaka koji reprezentuju određene mašinske delove, pa je u skladu sa tim i eksperimentalno verifikovan na većem broju odgovarajućih sintetizovanih oblaka.
C3  - 41. JUPITER konferencija, Zbornik radova
T1  - Prepoznavanje cilindara i ravni u trodimenzionim oblacima tačaka
EP  - 2.18
SP  - 2.9
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5221
ER  - 

@conference{
author = "Marković, Veljko and Jakovljević, Živana and Budak, Igor",
year = "2018",
abstract = "U radu se predlaže metod za prepoznavanje cilindara i ravni u nestruktuiranim oblacima tačaka. Predloženi proces prepoznavanja se može podeliti u tri osnovne faze. Prvu fazu predstavlja automatska segmentacija širenjem regiona počev od jedne karakteristične tačke. Kriterijumi širenja regiona zasnovani su na osobinama singularnosti informacione matrice sistema kao i pripadnosti tačaka površi čiji su parametri estimirani metodom najmanjih kvadrata. Druga faza algoritma se odnosi na grupisanje presegmentiranih oblasti i estimaciju parametara prepoznatih cilindara i ravni. Dobre performanse ovoj fazi obezbeđuje upotreba unapređenog algoritma robusnog prepoznavanja cilindara iz oblaka tačaka kao i uvođenje procesa precizne estimacije parametara ravni. Na samom kraju, odnosno u trećoj fazi procesa upotrebom predloženog algoritma vrši se ponovna obrada celokupnog polaznog oblaka tačaka u cilju ekstrakcije prepoznatih primitiva i obezbeđivanja preciznih krajnjih rezultata. Predloženi metod je pre svega namenjen prepoznavanju cilindara i ravni u oblacima tačaka koji reprezentuju određene mašinske delove, pa je u skladu sa tim i eksperimentalno verifikovan na većem broju odgovarajućih sintetizovanih oblaka.",
journal = "41. JUPITER konferencija, Zbornik radova",
title = "Prepoznavanje cilindara i ravni u trodimenzionim oblacima tačaka",
pages = "2.18-2.9",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5221"
}

Marković, V., Jakovljević, Ž.,& Budak, I.. (2018). Prepoznavanje cilindara i ravni u trodimenzionim oblacima tačaka. in 41. JUPITER konferencija, Zbornik radova, 2.9-2.18.
https://hdl.handle.net/21.15107/rcub_machinery_5221

Marković V, Jakovljević Ž, Budak I. Prepoznavanje cilindara i ravni u trodimenzionim oblacima tačaka. in 41. JUPITER konferencija, Zbornik radova. 2018;:2.9-2.18.
https://hdl.handle.net/21.15107/rcub_machinery_5221 .

Marković, Veljko, Jakovljević, Živana, Budak, Igor, "Prepoznavanje cilindara i ravni u trodimenzionim oblacima tačaka" in 41. JUPITER konferencija, Zbornik radova (2018):2.9-2.18,
https://hdl.handle.net/21.15107/rcub_machinery_5221 .

TY  - CONF
AU  - Šokac, Mario
AU  - Budak, Igor
AU  - Jakovljević, Živana
AU  - Santoši, Željko
AU  - Vukelić, Đorđe
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5218
AB  - Uopšteno govoreći, segmentacija predstavlja postupak klasifikacije objekata od interesa i njihove ekstrakcije od pozadine, a kao postupak predstavlja neizostavan korak kod obrade slike. U okviru ovog rada biće predstavljena podela i pregled najčešće primenjivanih metoda za segmentaciju slike. Na osnovu literaturnih izvora izvršena je klasifikacija metoda u odnosu na njihov mehanizam sa kratkim opisom osnovih podela i analizom najčešće primenjivanih metoda.
C3  - ETIKUM 2018, Zbornik radova
T1  - Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike
EP  - 84
SP  - 81
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5218
ER  - 

@conference{
author = "Šokac, Mario and Budak, Igor and Jakovljević, Živana and Santoši, Željko and Vukelić, Đorđe",
year = "2018",
abstract = "Uopšteno govoreći, segmentacija predstavlja postupak klasifikacije objekata od interesa i njihove ekstrakcije od pozadine, a kao postupak predstavlja neizostavan korak kod obrade slike. U okviru ovog rada biće predstavljena podela i pregled najčešće primenjivanih metoda za segmentaciju slike. Na osnovu literaturnih izvora izvršena je klasifikacija metoda u odnosu na njihov mehanizam sa kratkim opisom osnovih podela i analizom najčešće primenjivanih metoda.",
journal = "ETIKUM 2018, Zbornik radova",
title = "Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike",
pages = "84-81",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5218"
}

Šokac, M., Budak, I., Jakovljević, Ž., Santoši, Ž.,& Vukelić, Đ.. (2018). Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike. in ETIKUM 2018, Zbornik radova, 81-84.
https://hdl.handle.net/21.15107/rcub_machinery_5218

Šokac M, Budak I, Jakovljević Ž, Santoši Ž, Vukelić Đ. Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike. in ETIKUM 2018, Zbornik radova. 2018;:81-84.
https://hdl.handle.net/21.15107/rcub_machinery_5218 .

Šokac, Mario, Budak, Igor, Jakovljević, Živana, Santoši, Željko, Vukelić, Đorđe, "Pregled stanja i analiza najčešće primenjivanih metoda za segmentaciju slike" in ETIKUM 2018, Zbornik radova (2018):81-84,
https://hdl.handle.net/21.15107/rcub_machinery_5218 .

TY  - CONF
AU  - Šokac, Mario
AU  - Budak, Igor
AU  - Santoši, Željko
AU  - Spasić, Aleksandar
AU  - Jakovljević, Živana
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5229
AB  - Neosporna je uloga i primena medicinskih snimaka u današnjoj oblasti medicine i stomatologije    jer je na osnovu njih moguće izvršiti tačnu dijagnozu kod pacijenata. Međutim, primenom savremenih    uređaja za akviziciju ovih snimaka, mogu se pojaviti određene anomalije u vidu artefakata na    medicinskim simcima. Uporedo sa ovim problemom, razvijale su se i metode za obradu medicinskih    snimaka. Kako bi se verifikovala njihova primena i dokazala uspešnost njihove primene, tako su se    razvijale i mnoge metode i evaluatori za analizu i statističku obradu ovih snimaka. U ovom radu biće    prikazane neke od najčešće primenjivanih statističkih metoda i evaluatora koji se koriste kod analize    medicinskih snimaka.
C3  - ETIKUM 2017, Zbornik radova
T1  - Uloga statističkih evaluatora i njihova primena kod analize tačnosti segmentiranih medicinskih snimaka
EP  - 156
SP  - 153
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5229
ER  - 

@conference{
author = "Šokac, Mario and Budak, Igor and Santoši, Željko and Spasić, Aleksandar and Jakovljević, Živana",
year = "2017",
abstract = "Neosporna je uloga i primena medicinskih snimaka u današnjoj oblasti medicine i stomatologije    jer je na osnovu njih moguće izvršiti tačnu dijagnozu kod pacijenata. Međutim, primenom savremenih    uređaja za akviziciju ovih snimaka, mogu se pojaviti određene anomalije u vidu artefakata na    medicinskim simcima. Uporedo sa ovim problemom, razvijale su se i metode za obradu medicinskih    snimaka. Kako bi se verifikovala njihova primena i dokazala uspešnost njihove primene, tako su se    razvijale i mnoge metode i evaluatori za analizu i statističku obradu ovih snimaka. U ovom radu biće    prikazane neke od najčešće primenjivanih statističkih metoda i evaluatora koji se koriste kod analize    medicinskih snimaka.",
journal = "ETIKUM 2017, Zbornik radova",
title = "Uloga statističkih evaluatora i njihova primena kod analize tačnosti segmentiranih medicinskih snimaka",
pages = "156-153",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5229"
}

Šokac, M., Budak, I., Santoši, Ž., Spasić, A.,& Jakovljević, Ž.. (2017). Uloga statističkih evaluatora i njihova primena kod analize tačnosti segmentiranih medicinskih snimaka. in ETIKUM 2017, Zbornik radova, 153-156.
https://hdl.handle.net/21.15107/rcub_machinery_5229

Šokac M, Budak I, Santoši Ž, Spasić A, Jakovljević Ž. Uloga statističkih evaluatora i njihova primena kod analize tačnosti segmentiranih medicinskih snimaka. in ETIKUM 2017, Zbornik radova. 2017;:153-156.
https://hdl.handle.net/21.15107/rcub_machinery_5229 .

Šokac, Mario, Budak, Igor, Santoši, Željko, Spasić, Aleksandar, Jakovljević, Živana, "Uloga statističkih evaluatora i njihova primena kod analize tačnosti segmentiranih medicinskih snimaka" in ETIKUM 2017, Zbornik radova (2017):153-156,
https://hdl.handle.net/21.15107/rcub_machinery_5229 .

TY  - CONF
AU  - Petrović, Petar
AU  - Hodolič, Janko
AU  - Vićentić, Aleksandar
AU  - Pilipović, Miroslav
AU  - Jakovljević, Živana
AU  - Danilov, Ivan
AU  - Lukić, Nikola
AU  - Baltić, Petar
AU  - Vukelić, Đorđe
AU  - Budak, Igor
AU  - Hadžistević, Miodrag
AU  - Miković, Vladimir
AU  - Stojadinović, Slavenko
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6195
AB  - U okviru ovog rada navode se rezultati sprovedenih istraživanja na četvorogodišnjem projektu TR35007 koji zajednički realizuju Mašinski fakultet Univerziteta u Beogradu, Fakultet tehničkih nauka Univerziteta u Novom Sadu i kompanija Ikarbus iz Beograda. Ovaj projekat finansijskih podržava Ministarstvo prosvete i nauke u okviru četovorogodišnjeg ciklusa istraživačkih projekata za tehnološki razvoj, od 2011. do 2014. godine. Prvo se navode istraživački okvir projekta, osnovni ciljevi koji postavljeni pred istraživački tim i organizacija projekta koja je izvedena po modelu radnih paketa. U drugom delu rada navode se osnovni rezultati ostvaranih u prvoj istraživačkoj godini, sa odgovarajućim opisom i osnovnim detaljima tehničke i organizacione prirode.
AB  - This paper outlines the results of research conducted on the four-year project TR35007 jointly implemented by Mechanical Engineering Faculty University of Belgrade, Faculty of Technical Sciences in Novi Sad and Belgrade Ikarbus company. This project is financially supported by the Ministry of Education and Science within four-year cycle of research projects for technological development, from 2011 to 2014. The research framework of this project, the main objectives imposed to the research team and project organization structured by work packages are given first. In the second part, this paper outlines the main results achieved in the first research year, with appropriate description and basic details of the technical and organizational nature.
PB  - Mašinski fakultet, Beograd
C3  - Зборник радова, 38. ЈУПИТЕР Конференција
T1  - Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju – TR35007
T1  - Intelligent robotic systems for extremely diversified production – TR35007
EP  - UR.66
SP  - UR.49
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6195
ER  - 

@conference{
author = "Petrović, Petar and Hodolič, Janko and Vićentić, Aleksandar and Pilipović, Miroslav and Jakovljević, Živana and Danilov, Ivan and Lukić, Nikola and Baltić, Petar and Vukelić, Đorđe and Budak, Igor and Hadžistević, Miodrag and Miković, Vladimir and Stojadinović, Slavenko",
year = "2012",
abstract = "U okviru ovog rada navode se rezultati sprovedenih istraživanja na četvorogodišnjem projektu TR35007 koji zajednički realizuju Mašinski fakultet Univerziteta u Beogradu, Fakultet tehničkih nauka Univerziteta u Novom Sadu i kompanija Ikarbus iz Beograda. Ovaj projekat finansijskih podržava Ministarstvo prosvete i nauke u okviru četovorogodišnjeg ciklusa istraživačkih projekata za tehnološki razvoj, od 2011. do 2014. godine. Prvo se navode istraživački okvir projekta, osnovni ciljevi koji postavljeni pred istraživački tim i organizacija projekta koja je izvedena po modelu radnih paketa. U drugom delu rada navode se osnovni rezultati ostvaranih u prvoj istraživačkoj godini, sa odgovarajućim opisom i osnovnim detaljima tehničke i organizacione prirode., This paper outlines the results of research conducted on the four-year project TR35007 jointly implemented by Mechanical Engineering Faculty University of Belgrade, Faculty of Technical Sciences in Novi Sad and Belgrade Ikarbus company. This project is financially supported by the Ministry of Education and Science within four-year cycle of research projects for technological development, from 2011 to 2014. The research framework of this project, the main objectives imposed to the research team and project organization structured by work packages are given first. In the second part, this paper outlines the main results achieved in the first research year, with appropriate description and basic details of the technical and organizational nature.",
publisher = "Mašinski fakultet, Beograd",
journal = "Зборник радова, 38. ЈУПИТЕР Конференција",
title = "Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju – TR35007, Intelligent robotic systems for extremely diversified production – TR35007",
pages = "UR.66-UR.49",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6195"
}

Petrović, P., Hodolič, J., Vićentić, A., Pilipović, M., Jakovljević, Ž., Danilov, I., Lukić, N., Baltić, P., Vukelić, Đ., Budak, I., Hadžistević, M., Miković, V.,& Stojadinović, S.. (2012). Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju – TR35007. in Зборник радова, 38. ЈУПИТЕР Конференција
Mašinski fakultet, Beograd., UR.49-UR.66.
https://hdl.handle.net/21.15107/rcub_machinery_6195

Petrović P, Hodolič J, Vićentić A, Pilipović M, Jakovljević Ž, Danilov I, Lukić N, Baltić P, Vukelić Đ, Budak I, Hadžistević M, Miković V, Stojadinović S. Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju – TR35007. in Зборник радова, 38. ЈУПИТЕР Конференција. 2012;:UR.49-UR.66.
https://hdl.handle.net/21.15107/rcub_machinery_6195 .

Petrović, Petar, Hodolič, Janko, Vićentić, Aleksandar, Pilipović, Miroslav, Jakovljević, Živana, Danilov, Ivan, Lukić, Nikola, Baltić, Petar, Vukelić, Đorđe, Budak, Igor, Hadžistević, Miodrag, Miković, Vladimir, Stojadinović, Slavenko, "Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju – TR35007" in Зборник радова, 38. ЈУПИТЕР Конференција (2012):UR.49-UR.66,
https://hdl.handle.net/21.15107/rcub_machinery_6195 .

TY  - CONF
AU  - Petrović, Petar B.
AU  - Hodolič, Janko
AU  - Vićentić, Aleksandar
AU  - Pilipović, Miroslav
AU  - Jakovljević, Živana
AU  - Danilov, Ivan
AU  - Lukić, Nikola
AU  - Baltić, Petar
AU  - Vukelić, Đorđe
AU  - Budak, Igor
AU  - Hadžistević, Miodrag
AU  - Miković, Vladimir
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5619
AB  - U okviru ovog rada navode se rezultati sprovedenih istraživanja na četvorogodišnjem projektu TR35007 koji zajednički realizuju Mašinski fakultet Univerziteta u Beogradu, Fakultet tehničkih nauka Univerziteta u Novom Sadu i kompanija Ikarbus iz Beograda. Ovaj projekat finansijskih podržava Ministarstvo prosvete i nauke u okviru četovorogodišnjeg ciklusa istraživačkih projekata za tehnološki razvoj, od 2011. do 2014. godine. Prvo se navode istraživački okvir projekta, osnovni ciljevi koji postavljeni pred istraživački tim i organizacija projekta koja je izvedena po modelu radnih paketa. U drugom delu rada navode se osnovni rezultati ostvaranih u prvoj istraživačkoj godini, sa odgovarajućim opisom i osnovnim detaljima tehničke i organizacione prirode.
C3  - Zbornik radova 38. JUPITER konferencije
T1  - Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju
EP  - UR.66
SP  - UR.49
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5619
ER  - 

@conference{
author = "Petrović, Petar B. and Hodolič, Janko and Vićentić, Aleksandar and Pilipović, Miroslav and Jakovljević, Živana and Danilov, Ivan and Lukić, Nikola and Baltić, Petar and Vukelić, Đorđe and Budak, Igor and Hadžistević, Miodrag and Miković, Vladimir",
year = "2012",
abstract = "U okviru ovog rada navode se rezultati sprovedenih istraživanja na četvorogodišnjem projektu TR35007 koji zajednički realizuju Mašinski fakultet Univerziteta u Beogradu, Fakultet tehničkih nauka Univerziteta u Novom Sadu i kompanija Ikarbus iz Beograda. Ovaj projekat finansijskih podržava Ministarstvo prosvete i nauke u okviru četovorogodišnjeg ciklusa istraživačkih projekata za tehnološki razvoj, od 2011. do 2014. godine. Prvo se navode istraživački okvir projekta, osnovni ciljevi koji postavljeni pred istraživački tim i organizacija projekta koja je izvedena po modelu radnih paketa. U drugom delu rada navode se osnovni rezultati ostvaranih u prvoj istraživačkoj godini, sa odgovarajućim opisom i osnovnim detaljima tehničke i organizacione prirode.",
journal = "Zbornik radova 38. JUPITER konferencije",
title = "Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju",
pages = "UR.66-UR.49",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5619"
}

Petrović, P. B., Hodolič, J., Vićentić, A., Pilipović, M., Jakovljević, Ž., Danilov, I., Lukić, N., Baltić, P., Vukelić, Đ., Budak, I., Hadžistević, M.,& Miković, V.. (2012). Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju. in Zbornik radova 38. JUPITER konferencije, UR.49-UR.66.
https://hdl.handle.net/21.15107/rcub_machinery_5619

Petrović PB, Hodolič J, Vićentić A, Pilipović M, Jakovljević Ž, Danilov I, Lukić N, Baltić P, Vukelić Đ, Budak I, Hadžistević M, Miković V. Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju. in Zbornik radova 38. JUPITER konferencije. 2012;:UR.49-UR.66.
https://hdl.handle.net/21.15107/rcub_machinery_5619 .

Petrović, Petar B., Hodolič, Janko, Vićentić, Aleksandar, Pilipović, Miroslav, Jakovljević, Živana, Danilov, Ivan, Lukić, Nikola, Baltić, Petar, Vukelić, Đorđe, Budak, Igor, Hadžistević, Miodrag, Miković, Vladimir, "Inteligentni robotski sistemi za ekstremno diverzifikovanu proizvodnju" in Zbornik radova 38. JUPITER konferencije (2012):UR.49-UR.66,
https://hdl.handle.net/21.15107/rcub_machinery_5619 .