An Efficient Ant Colony System for Edge Detection in Image Processing

被引：3
|
作者：
Khaluf, Yara [1 ]
Gullipalli, Syam [1 ]
机构：
[1] Univ Paderborn, Paderborn, Germany
来源：
ECAL 2015: THE THIRTEENTH EUROPEAN CONFERENCE ON ARTIFICIAL LIFE | 2015年
关键词：
OPTIMIZATION;
D O I：
10.7551/978-0-262-33027-5-ch071
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：398 / 405
页数：8
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