DocumentCode :
3346694
Title :
An Approach of Color Image Mosaicking Based on Color Vision Characteristics
Author :
Han Xiaowei ; Hui Cao ; Yuan Zhonghu ; Zhao Hongying ; Yan Lei
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
343
Lastpage :
346
Abstract :
Based on the characteristics of color space transform between RGB and HSI, an algorithm of color difference measurement for color image is presented. The degree of scatter about color space distribution of a given image region is determined by computing the sum of color difference between every pixel and the other pixels of the image region. Then an effective feature template, which is then used in color image matching, is chosen according to the degree value. Furthermore, template matching is applied to obtain relative displacement between two images to mosaicked. A function of brightness transform is built by Least Mean Square (LMS). According to the function built, brightness of each pixel in one color image is adjusted when necessary, and then the brightness difference between two images can be eliminated. Experimental results show that the proposed approach has good precision of image mosaicking and capacity of anti-jamming for brightness.
Keywords :
image colour analysis; image segmentation; least mean squares methods; HSI color; RGB color; brightness transform function; color difference algorithm; color image mosaicking; color space transform characteristic; least mean square; template matching; Brightness; Color; Computer vision; Genetic engineering; Humans; Image matching; Image processing; Pixel; Scattering; Smoothing methods; color image mosaicking; color space; image processing; image smoothing; vision charateristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.133
Filename :
5402879
Link To Document :
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