Abstract:
Computer intelligent image processing technology can provide an effective aid for dress designer.By extracting the SURF features,the image shape of the cloth can be recognized.However,due to the high feature dimension and the grayscale based feature extraction method of SURF,there exist shortcomings,e.g,slow image matching speed and the matching result is not enough to match the characteristics of human visual.Hence,this paper proposes an adaptive SURF feature extraction algorithm based on wavelet transform and an image color analysis method based on K-Means clustering.By fusing the shape and color feature of the image,the matching speed is accelerated and the matching results are made more accord with the human visual perception.Experiments via 8 different kinds of fabric images show the effectiveness of the proposed algorithm.