DocumentCode
2200481
Title
Edge Detection for Medical Image Based on PSO Algorithm
Author
Shi Zhen-gang ; Li Qin-zi
Author_Institution
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2010
fDate
1-3 Nov. 2010
Firstpage
84
Lastpage
87
Abstract
The medical image has become a diagnostic technique largely applied for the determination of doctor´s diagnosis. But it is difficult for detecting the medical image borders accurately. This paper proposes a new medical image edge-detection technique based on PSO Algorithm. A new fitness function is formulated as the objective function. PSO algorithm is adopted to find the optimal filter mask to enhance the accuracy of the inspection system. The present method has been efficient in detecting borders of medical images. The results indicate the accuracy of the proposed edge-detection method is superior to that of conventional edge-detection methods for medical image.
Keywords
edge detection; medical image processing; particle swarm optimisation; patient diagnosis; PSO algorithm; border detection; diagnostic technique; fitness function; medical image edge detection technique; medical image processing; optimal filter mask; particle swarm optimisation; borders; edge detection; medical image; particle swarm optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-8548-2
Electronic_ISBN
978-0-7695-4249-2
Type
conf
DOI
10.1109/ICINIS.2010.23
Filename
5693685
Link To Document