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	Detection of similar targets using multiple color space feature fusion
	Ding Tianhuai ; Jia Dongyao
	2010-05-10 ; 2010-05-10
关键词	Practical Theoretical or Mathematical/ feature extraction image colour analysis image segmentation wavelet transforms/ multiple color space feature fusion foreign fiber detection constructed color feature evaluation function image processing methods multiple feature images wavelet transforms image segmentation techniques/ B6135 Optical, image and video signal processing B0230 Integral transforms C5260B Computer vision and image processing techniques C1130 Integral transforms
中文摘要	The detection method was developed for such low-contrast targets using multiple color space information fusion for detection of foreign fibers such as wool, white hair, or plastic in cotton. The method analyzes the different color features of the targets in different color spaces to select several optimal features using a constructed color feature evaluation function. After the different feature images are processed according to their characteristics using various image processing methods, the multiple feature images are fused using wavelet transforms to get a single image with clearly defined features. The enhanced features enable improved discrimination between the targets and the background than in the original image. Similar targets can then be separated from the background using image segmentation techniques. Therefore, the method provides an improved method for detection of similar targets that tend to blend with the background.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/24595]
专题	清华大学
推荐引用方式 GB/T 7714	Ding Tianhuai,Jia Dongyao. Detection of similar targets using multiple color space feature fusion[J],2010, 2010.
APA	Ding Tianhuai,&Jia Dongyao.(2010).Detection of similar targets using multiple color space feature fusion..
MLA	Ding Tianhuai,et al."Detection of similar targets using multiple color space feature fusion".(2010).

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