CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Texture segmentation based on wavelet textons
Zhang Peng; Zhao Shubin; Peng Silong
2003
Conference NameProceedings of the Third International Conference on Wavelet Analysis and Its Applications (WAA)
Pagespp 768-773
Conference Date2003/5/29-2003/5/31
Conference Place中国Chongqing China
AbstractThis paper presents a texton-based algorithm of texture image segmentation. Harr wavelet is utilized as a transforming tool so that texture subimages of different directions are produced. And then a new texton extracting method is provided. Density statistic and vector field are applied respectively in order to separate texture images from coarse to fine. Through this way texture images are not only separated but also texture structure can be described which is useful for high-level image processing tasks.
Keyword
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12903
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorZhang Peng
Recommended Citation
GB/T 7714
Zhang Peng,Zhao Shubin,Peng Silong. Texture segmentation based on wavelet textons[C],2003:pp 768-773.
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