Image Tracking and Analysis Algorithm by Independent Component Analysis

被引:0
|
作者
Yu, Cheng-Yi [1 ,3 ]
Chang, Yi-Ying [2 ,3 ]
Ouyang, Yen-Chieh [1 ]
Tai, Shen-Chuan [2 ]
Yu, Tzu-Wei [4 ]
机构
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 40227, Taiwan
[2] Cheng Kung Univ, Dept Elect Engn, Tainan, Taiwan
[3] Chi Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[4] Chi Yi Univ Technol, Dept Comp Elect Engn, Taichung, Taiwan
关键词
Independent Component Analysis; RGB Color Space; Image Tracking and Analysis; FMRI DATA; PERFUSION;
D O I
10.4028/www.scientific.net/AMM.44-47.1622
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Along with digitizing and multimedia era, the image has not changed from the original entity into any changes can be dealt with digital preservation methods. Although the digital image capture technology means more and more developed, but there are still many variables affect the quality of an image. An image quality usually depends on the user's usage or changes in the natural environment. Due to the natural environment of the most common factors that influence is light, so an image of the brightness distribution over the target object caused by extreme hardly recognizable condition common. Therefore, we will use the independent component analysis of an input color images Red, Green, and Blue three Color Space to the main component analysis, in order to achieve the target tracking and analysis.
引用
收藏
页码:1622 / +
页数:2
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