Paper Info
Title
An Efficient Ant Colony System for Edge Detection in Image Processing.
Abstract
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.
Year
DOI
Venue
2015
10.7551/978-0-262-33027-5-ch071
ECAL 2015: THE THIRTEENTH EUROPEAN CONFERENCE ON ARTIFICIAL LIFE
Field
DocType
Citations 
Ant colony optimization algorithms,Machine vision,Computer science,Edge detection,Image processing,Heuristics,Artificial intelligence,Ant colony,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yara Khaluf1428.79
Syam Gullipalli200.34