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ICMCS
2008
IEEE

Graph cuts by using local texture features of wavelet coefficient for image segmentation

9 years 4 months ago
Graph cuts by using local texture features of wavelet coefficient for image segmentation
This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Haar Wavelet, low-frequency range (smoothed image) is used for n-link and high-frequency range (local texture features) is used for t-link along with color histogram. The proposed method can segment the object region with noisy edges and colors similar to the background, but heavy texture change. Experimental results illustrate the validity of our method.
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICMCS
Authors Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
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