Image Tracking and Analysis Algorithm by Independent Component Analysis

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 1622-1627
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.1622
• Online since: December 2010
• Authors: Cheng Yi Yu, Yi Ying Chang, Yen Chieh Ouyang, Shen Chuan Tai, Tzu Wei Yu
• Keywords: Analysis, Image Tracking, Independent Component Analysis (ICA), RGB Color Space

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