Abstract: In order to eliminate interference of clothing image background,GrabCut algorithm was introduced.But the current GrabCut algorithm is sensitive to local noise and time-consuming,and its segmentation edge is not accurate.To solve these problems,the multi-scale watershed algorithm to de-noise gradient image was employed,enhancing the ima-ge edge points and reducing the subsequent processing computation.To reduce the loss of image key features,we employed entropy penalty factor optimal segmentation energy function,reducing the effective information loss of image retrieval.And then we introduced the improved GrabCut algorithm to content based clothing image retrieval system.The experimental results show the method has obvious advance on the accuracy of retrieval effect than the existing algorithms.

Key words: Image retrieval,GrabCut algorithm,Image segmentation,Image background