Edge detection using ant algorithms

Authors:
Hossein Nezamabadi-pour;Saeid Saryazdi;Esmat Rashedi
Affiliations:
Deptartment of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Deptartment of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Deptartment of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2006

Citing 0
Cited 17

Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns

ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Review: A review of ant algorithms

Expert Systems with Applications: An International Journal
GSA: A Gravitational Search Algorithm

Information Sciences: an International Journal
Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm

Computer Methods and Programs in Biomedicine
Noise-robust binary segmentation based on ant colony system and modified fuzzy C-means algorithm

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A Modified Ant-Based Approach to Edge Detection

ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Edge detection using ant colony search algorithm and multiscale contrast enhancement

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Ant colony optimization for image edge detection

ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
Ant colony optimization for nonlinear AVO inversion of network traffic allocation optimization

Expert Systems with Applications: An International Journal
Image edge detection using ant colony optimization

WSEAS Transactions on Signal Processing
An efficient ant-based edge detector

Transactions on computational collective intelligence I
Image edge detection using variation-adaptive ant colony optimization

Transactions on computational collective intelligence V
High dynamic range optimal fuzzy color image enhancement using Artificial Ant Colony System

Applied Soft Computing
A swarm optimization model for energy minimization problem of early vision

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Automatic fault tracking based on ant colony algorithms

Computers & Geosciences
Ant algorithms for image feature extraction

Expert Systems with Applications: An International Journal
A new gravitational image edge detection method using edge explorer agents

Natural Computing: an international journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a new algorithm for edge detection using ant colony search is proposed. The problem is represented by a directed graph in which nodes are the pixels of an image. To adapt the problem, some modifications on original ant colony search algorithm (ACSA) are applied. A large number of experiments are employed to determine suitable algorithm parameters. We drive an experimental relationship between the size of the image to be analyzed and algorithm parameters. Several experiments are made and the results suggest the effectiveness of the proposed algorithm.