Image Retrieval Based On The Color Textons Descriptor

被引:0
|
作者
Liu, Guanghai [1 ]
Lin, Yusheng [2 ]
Wang, Qiang [1 ]
机构
[1] Guangxi Normal Univ, Coll Comp Sci & Informat Technol, Guilin 541004, Peoples R China
[2] Inst China Elect Technol Grp Corp 54, Shijiazhuang 050081, Peoples R China
关键词
Image retrieval; lab color space; Texton detection; the color textons descriptors; LOCAL BINARY PATTERNS; TEXTURE DESCRIPTORS; CLASSIFICATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In perceptually uniform color space, color differences can be measured in a way close to the human perception of two colors. A new feature descriptor, namely the color textons descriptor, is proposed in this paper according to the attribute of perceptually uniform color space. This descriptor can represent features via color differences in textons component images. It converts color image from ROB color space to CIE Lab color space, and then quantized the color images into 64 colors and find out the textons location in Lab color components. Finally, color differences are used to represent features and for image retrieval. Image retrieval experimental results have shown that the color textons descriptor has the discrimination power of color and texture features, and the performance is better than that of the edge histogram descriptor and LBP method significantly.
引用
收藏
页码:272 / +
页数:2
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