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《Computer Technology and Development》 2012-05
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Texture Image Segmentation Algorithm of Space Feature and Frequency Feature Fusion

HOU Yan-li(Department of Computer and Information Technology,Shangqiu Teachers College,Shangqiu 476000,China)  
Aim to decrease the segmentation error,a texture image segmentation algorithm based on space feature and frequency feature fusion is studied in this paper,in which both space feature and frequency feature are considered simultaneously.Firstly,space feature of a texture image is extracted based on support vector domain description.Secondly,frequency feature is extracted in different scale using modified discrete wavelet frame transform.And then,the k-means clustering algorithm is applied to the texture segmentation.At last,simulations are performed on the presented algorithm,and the simulation result shows that the presented algorithm not only has high accuracy of boundary locations,but also has good region homogeneity.
【Fund】: 河南省科技厅自然科学基金研究项目(112300410301);河南省科技厅科技攻关研究项目(112102210210);; 河南省教育厅自然科学基金项目(2010A510009)
【CateGory Index】: TP391.41
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