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PDF 1.78 MB
Pages 398–405
First published 20 July 2015

An Efficient Ant Colony System for Edge Detection in Image Processing

Yara Khaluf and Syam Gullipalli


Edge detection is a fundamental procedure in image processing, machine vision, and computer vision. Its application area ranges from astronomy to medicine in which isolating the objects of interest in the image is of a significant importance. However, performing edge detection is a non-trivial task for which a large number of techniques have been proposed to solve it. This paper investigates the use of Ant Colony Optimization—a prominent set of optimization heuristics—to solve the edge detection problem. We propose two modified versions of the algorithm Ant Colony System (ACS) for an efficient and a noise-free edge detection.