Bakery products image segmentation with OpenCV (CROSBI ID 632145)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Čačić Kenjerić, Frane ; Lukinac, Jasmina
engleski
Bakery products image segmentation with OpenCV
Image segmentation is important step in image analysis because it enables extraction of data from them. This field is widely researched as it is base for understanding and interpreting images in fields of machine and computer vision systems. Image segmentation can be broadly categorized as semi-interactive approach and fully automatic approach and algorithm developed lies in either of this approaches. Open source computer vision library (OpenCV) is an open source computer vision and machine learning software library with more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. This paper concentrates on image segmentation of bakery products with algorithms available in OpenCV with use of Python interface and their performance.
segmentation; OpenCV; bakery products
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
32-32.
2015.
objavljeno
Podaci o matičnoj publikaciji
Book of abstracts 8th International Congress Flour-Bread '15, 10th Croatian Congress of Cereal Technologists
Koceva Komlenić, Daliborka ; Jukić, Marko
Osijek: Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku
1848-2554
Podaci o skupu
8th International Congress Flour-Bread '15, 10th Croatian Congress of Cereal Technologists
poster
29.10.2015-30.10.2015
Opatija, Hrvatska