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	Netlike texture detection method using fractal texture features and wavelet transform
	Cao Yuan-Yuan ; Yang Bo ; Xu Guang-You
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ fractals image texture object detection support vector machines/ netlike texture detection fractal texture features wavelet transform multi resolution images SVM classifier/ C1250M Image recognition C1230L Learning in AI
中文摘要	Netlike texture is very common in our daily life. However, it is very difficult to be described and detected because of its distinct characteristics. This paper chooses nets in sports game as research object and presents a netlike texture detection method of using fractal texture features and wavelet transform. First, multi-scale wavelet decomposition is employed on video frames; then fractal features of multi-resolution images are obtained. A group of fractal features are chosen as feature vector according to causality theory and an SVM classifier is used to recognize the net in images. The experiments show that this method is robust and effective under the condition of intense distortion and complicated background. This method can be extended to other netlike texture detections.
语种	中文 ; 中文
出版者	China International Book Trading Corp ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/10030]
专题	清华大学
推荐引用方式 GB/T 7714	Cao Yuan-Yuan,Yang Bo,Xu Guang-You. Netlike texture detection method using fractal texture features and wavelet transform[J],2010, 2010.
APA	Cao Yuan-Yuan,Yang Bo,&Xu Guang-You.(2010).Netlike texture detection method using fractal texture features and wavelet transform..
MLA	Cao Yuan-Yuan,et al."Netlike texture detection method using fractal texture features and wavelet transform".(2010).

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