Abstract-Edges characterize boundaries and are therefore considered for prime importance in image processing. Edge detection filters out useless data, noise and frequencies while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection methods. In this paper the comparative analysis of various Image Edge Detection methods is presented. The evidence for the best detector type is judged by studying the edge maps relative to each other through statistical evaluation. Upon this evaluation, an edge detection method can be employed to characterize edges to represent the image for further analysis and implementation. It has been shown that the Canny's edge detection algorithm performs better than all these operators under almost all scenarios. Index Terms-About four key words or phrases in alphabetical order, separated by commas.
A work done by Mamta and Parvinder REF summarized the edge detection techniques and its performance by studying the edge maps relative to each other through statistical evaluation.
Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain
International Journal of Computer Theory and Engineering
Computer Science