Abstract

Edge detection is very important terminology in image processing and for computer vision. Edge detection is in the forefront of image processing for object detection, so it is crucial to have a good understanding of edge detection operators. In the present study, comparative analyses of different edge detection operators in image processing are presented. It has been observed from the present study that the performance of canny edge detection operator is much better then Sobel, Roberts, Prewitt, Zero crossing and LoG (Laplacian of Gaussian) in respect to the image appearance and object boundary localization. The software tool that has been used is MATLAB.

How to Cite
PINAKI PRATIM ACHARJYA, RITABAN DAS, DIBYENDU GHOSHAL, Dr.. Study and Comparison of Different Edge Detectors for Image Segmentation. Global Journal of Computer Science and Technology, [S.l.], oct. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/306>. Date accessed: 27 jan. 2021.