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There are many successful experiences employing texture analysis to improve the accuracy and robustness of image segmentation. Usually, per-pixel based texture analysis is required, which involves intensive computation especially for large images. Precomputation and storing of the texture features involves large file space which is not cost effective. To adopt to these novel needs, we propose the...
Gabor wavelet transform is one of the most effective feature extraction techniques for textures. As the Gabor wavelets are believed to be rather consistent to the response of Human Vision System (HVS), and many successful examples are reported in the areas of texture analysis. However, computational complexity of the feature extraction is still high even for computers nowadays, especially large sized...
Vessel segmentation is an essential task in many computer-aided medical systems. However, the topology complexity of vascular structures and the intensity inhomogeneity of angiogram make it a challenging problem. We propose a level set based predictor-corrector algorithm to meet these challenges. In the predictor step, the overall contour of vessel structures is delineated by piecewise constant (PC)...
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