Extracting Dominant Textures in Real Time With Multi-Scale Hue-Saturation-Intensity Histograms

ISCAS OpenIR

	Extracting Dominant Textures in Real Time With Multi-Scale Hue-Saturation-Intensity Histograms
	Wang, Wencheng; Hua, Miao
	2013
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN	1057-7149
卷号	22 期号:11 页码:4237-4248
摘要	It is very important to extract high quality texture features from images. This is, however, often laborious, because the randomness in the color distribution patterns for texture elements makes texture measurement very difficult, despite these elements having a very similar visual appearance. In this paper, we propose the use of multi-scale color histograms to measure the effect of color distribution patterns efficiently and without having to compute the actual patterns, which saves considerable effort. Meanwhile, the hue-saturation-intensity color model is mainly adopted to take the advantage of human visual experiences in texture recognition. We discuss and validate the effectiveness and efficiency of our method by applying to various benchmarks. The results show that we can extract quality dominant textures automatically in real time, and faster by several orders of magnitude than existing methods.; It is very important to extract high quality texture features from images. This is, however, often laborious, because the randomness in the color distribution patterns for texture elements makes texture measurement very difficult, despite these elements having a very similar visual appearance. In this paper, we propose the use of multi-scale color histograms to measure the effect of color distribution patterns efficiently and without having to compute the actual patterns, which saves considerable effort. Meanwhile, the hue-saturation-intensity color model is mainly adopted to take the advantage of human visual experiences in texture recognition. We discuss and validate the effectiveness and efficiency of our method by applying to various benchmarks. The results show that we can extract quality dominant textures automatically in real time, and faster by several orders of magnitude than existing methods.
收录类别	SCI
关键词	Clustering Methods Feature Extraction Image Texture Real Time Systems
部门归属	[Wang, Wencheng; Hua, Miao] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. [Hua, Miao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
语种	英语
WOS记录号	WOS:000324597800007
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16908
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang, Wencheng,Hua, Miao. Extracting Dominant Textures in Real Time With Multi-Scale Hue-Saturation-Intensity Histograms[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2013,22(11):4237-4248.
APA	Wang, Wencheng,&Hua, Miao.(2013).Extracting Dominant Textures in Real Time With Multi-Scale Hue-Saturation-Intensity Histograms.IEEE TRANSACTIONS ON IMAGE PROCESSING,22(11),4237-4248.
MLA	Wang, Wencheng,et al."Extracting Dominant Textures in Real Time With Multi-Scale Hue-Saturation-Intensity Histograms".IEEE TRANSACTIONS ON IMAGE PROCESSING 22.11(2013):4237-4248.