scholarly journals Infrared image edge detection applied research based on improved ant colony algorithm

2015 ◽  
Author(s):  
B.M. Qiao ◽  
S. Li ◽  
Y. Xiao
Keyword(s):  
Edge Detection ◽  
Ant Colony Algorithm ◽  
Applied Research ◽  
Infrared Image ◽  
Ant Colony ◽  
Image Edge Detection ◽  
Image Edge ◽  
Improved Ant Colony Algorithm

scholarly journals An Image Edge Detection Method Based on Improved Ant Colony Algorithm

2011 ◽  
Vol 1 ◽  
pp. 236-240
Author(s):  
Xi Yun Wang ◽  
Pan Feng Huang ◽  
Ying Pings Fan
Keyword(s):  
Edge Detection ◽  
Ant Colony Algorithm ◽  
Detection Method ◽  
Ant Colony ◽  
Improved Method ◽  
Image Edge Detection ◽  
Image Edge ◽  
Edge Detection Method ◽  
Background Image ◽  
Improved Ant Colony Algorithm

This paper raises an improved ant colony algorithm, for the detection of weak edge of complex background image, considering edge positioning accuracy, edge pixels, edge continuity and interference edges. This algorithm is improved in two aspects: first, we improved the expression of pheromone; second, we improved the calculation of Heuristic information. Compared with traditional Canny detector indicates, the improved method is proved to be accurate in edge detection, good continuity and less interference by experiment.

A New Medical Image Edge Detection Algorithm Based on BC-ACO

2017 ◽  
Vol 31 (03) ◽  
pp. 1757002
Author(s):  
Jingyu Zhang ◽  
Jianfu Teng ◽  
Yu Bai
Keyword(s):  
Edge Detection ◽  
Medical Image ◽  
Ant Colony Algorithm ◽  
Bacterial Chemotaxis ◽  
Optimal Solution ◽  
Detection Algorithm ◽  
Ant Colony ◽  
Image Edge Detection ◽  
Image Edge ◽  
Improved Ant Colony Algorithm

Taking the improved ant colony algorithm based on bacterial chemotaxis as a means, this paper proposes one new swarm intelligence optimization algorithm to solve the medical image edge detection problem. The improved ant colony algorithm based on bacterial chemotaxis mainly aims at the shortcoming that the basic ant colony algorithm lacks initial pheromone, and combines bacterial chemotaxis algorithm with basic ant colony algorithm. Firstly, feasible better solution can be found through bacterial chemotaxis algorithm and fed back as initial pheromone. Then ant colony algorithm is implemented to search for the global optimal solution. The algorithm test indicates that the improved ant colony algorithm is more effective in the aspects of searching precision, reliability, optimization speed and stability compared with basic ant colony algorithm. Finally, the improved ant colony algorithm is applied into the edge detection of medical image. It can be seen from the computer simulation that compared with other operators and basic ant colony algorithm on the issue of solving medical image edge detection, the improved ant colony algorithm has superiority and the detected edge is clearer.

The Implementation of Infrared Image Edge Detection Algorithm Based on CNN on FPGA

2012 ◽  
Vol 41 (11) ◽  
pp. 1354-1358 ◽  
Author(s):  
王巍 WANG Wei ◽  
安友伟 AN You-wei ◽  
黄展 HUANG Zhan ◽  
丁锋 DING Feng ◽  
杨铿 YANG Keng ◽  
...  
Keyword(s):  
Edge Detection ◽  
Infrared Image ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Image Edge
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