Kernel Sets in Compass Edge Detection
Apstrakt
Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.
Izvor:
14th IEEE international symposium on computational intelligence and informatics (cinti), 2013, 239-242Izdavač:
- IEEE, New York
DOI: 10.1109/CINTI.2013.6705199
ISSN: 2380-8586
WoS: 000345626300040
Scopus: 2-s2.0-84893723978
Institucija/grupa
JakovTY - CONF AU - Čisar, Petar AU - Maravić-Cisar, Sanja AU - Markoski, Branko PY - 2013 UR - http://jakov.kpu.edu.rs/handle/123456789/514 AB - Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection. PB - IEEE, New York C3 - 14th IEEE international symposium on computational intelligence and informatics (cinti) T1 - Kernel Sets in Compass Edge Detection SP - 239 EP - 242 DO - 10.1109/CINTI.2013.6705199 ER -
@conference{ author = "Čisar, Petar and Maravić-Cisar, Sanja and Markoski, Branko", year = "2013", abstract = "Edge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.", publisher = "IEEE, New York", journal = "14th IEEE international symposium on computational intelligence and informatics (cinti)", title = "Kernel Sets in Compass Edge Detection", pages = "239-242", doi = "10.1109/CINTI.2013.6705199" }
Čisar, P., Maravić-Cisar, S.,& Markoski, B.. (2013). Kernel Sets in Compass Edge Detection. in 14th IEEE international symposium on computational intelligence and informatics (cinti) IEEE, New York., 239-242. https://doi.org/10.1109/CINTI.2013.6705199
Čisar P, Maravić-Cisar S, Markoski B. Kernel Sets in Compass Edge Detection. in 14th IEEE international symposium on computational intelligence and informatics (cinti). 2013;:239-242. doi:10.1109/CINTI.2013.6705199 .
Čisar, Petar, Maravić-Cisar, Sanja, Markoski, Branko, "Kernel Sets in Compass Edge Detection" in 14th IEEE international symposium on computational intelligence and informatics (cinti) (2013):239-242, https://doi.org/10.1109/CINTI.2013.6705199 . .