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《Journal of Computer Applications》 2007-01
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Texture image segmentation based on Gabor wavelet using geodesic active contour model

WANG Kai-bin,YU Bian-zhang,ZHAO Jian(School of Electronics and Information,Northwestern Polytechnical University,Xi'an Shaanxi 710072,China)  
A new method for texture image segmentation was proposed,and it had two advantages compared to Geodesic models.First,due to using Gabor wavelet to extract texture features,texture image can be segmented properly.Second,without re-initialization,the proposed method can avoid the additional computation problems due to the re-initialization of signal distance function.The segmentation tests for synthetic and natural texture images prove the proposed segmentation method is more accurate and faster compared to geodesic active contour models.
【Fund】: 西北工业大学种子基金资助项目(Z200538);; 国防基础资金资助项目(A3220061163)
【CateGory Index】: TP391.41
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