DocumentCode
724396
Title
A multi-focus color image fusion method based on edge detection
Author
Wang Yajie ; Ye Yongsheng ; Ran Xiaoyan ; Wu Yanyan ; Shi Xiangbin
Author_Institution
Shenyang Aerosp. Univ., Shenyang, China
fYear
2015
fDate
23-25 May 2015
Firstpage
4294
Lastpage
4299
Abstract
Aiming at multi-focus color image fusion, An image fusion algorithm based on the Canny edge detection is proposed. Firstly, the color image is converted into grayscale image, then, the Canny edge detection algorithm is used to detect the edge of grayscale image to obtain the corresponding edge image. Secondly, the area of the two edge images is compared and the isolated point is removed. The stripes on the non-focus area of the edge image are eliminated. Then, the black areas of the two images are compared, and the simple decision map is gotten. Finally, the decision map is processed by processing the edge. The value of the edge point is re-determined, and the final decision map is obtained. The multi-focus fusion image is obtained according to the decision map. The experimental results show that, the proposed algorithm is superior to traditional fusion algorithms, in terms of objective criteria and visual appearance.
Keywords
edge detection; image colour analysis; image fusion; Canny edge detection; decision map; grayscale image; image black area; image conversion; image fusion algorithm; isolated point removal; multifocus color image fusion method; objective criteria; visual appearance; Algorithm design and analysis; Color; Discrete wavelet transforms; Image color analysis; Image edge detection; Image fusion; decision map; edge detection; edge processing; multi-focus color image fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162649
Filename
7162649
Link To Document