Title
An Efficient Ant Colony System for Edge Detection in Image Processing
Paper 88 Details
Authors
Presentation Schedule
- Talk Time: 12:10
- Date: Thursday 23 July
- Session: Swarm Intelligence RCH/037 Thursday 23 July 11:20
Full Paper Download
Download via this paper's page on the MIT Press ECAL 2015 Proceedings website.
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.
