Abstract：A method for image feature extraction and recognition is proposed. Abundant contour feature information of the image is expressed by Contourlet transform while flatness feature and texture of the image are described by Brushlet transform in the multiscale geometric analysis. The two types of feature information make up feature matrix. And fuzzy Cmean clustering is selected to compress the feature matrix and gain distributed datasets. Then object images are recognized with kernel matching pursuit classifier. The proposed method describes variant image information with different characterization transform then keeps useful original image information. Compared with Contourlet transform and Brushlet transform, the proposed method obtains higher accurate recognition rate with shorter running time.
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2007, Vol. 20 
