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ICS國際計算機會議 >
2006年 ICS 國際計算機會議 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2377/3634
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| Title: | Image Texture Segmentation Using Local Binary Pattern and Color Information: A Comparison |
| Authors: | Arasteh, Sara
Hung, Chih-Cheng
Kuo, Bor-Chen |
| Issue Date: | 31-Jan-2007 |
| Series/Report no.: | 2006 ICS會議 |
| Abstract: | Image texture and color are important features for
image segmentation. Several algorithms have been
proposed using color features, texture features or
combination of color and texture features for image
segmentation in the literature. One of the important
issues is how well these algorithms work on
differentiating among different textures and colors. In
this study, we analyze and compare some of the simple
but powerful texture classifiers to explore their
strengths and weaknesses in the classification of
different type of textures. Texture Spectrum (TS) and
Uniform local binary pattern (ULBP) are compared. In
order to see the influence of color features in
classification process, the combination of ULBP and
color is also compared with ULBP and TS in our
experiments. Co-occurrence probabilities (GLCPs) are
used as a benchmark for the evaluation. |
| URI: | http://hdl.handle.net/2377/3634 |
| Appears in Collections: | 2006年 ICS 國際計算機會議
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