A New Image Retrieval Method of Contour Detection

The shape feature of images is one of the most important visual features.It can be used to improve the accuracy of image retrieval.However automatic extraction of the border shape has long been a difficult problem in image processing.A new image retrieval method based on contour detection is presented.First,a method of color clustering is employed to pre-process the image,and contour-tracking is used to the meaningful clustering region.Then an arithmetic based on Snake for contour detection is invoked to implement the image segmentation.The low-level feature of the shape is subsequently extracted and described by Fourier descriptor for similar matching.At last,to improve the precision of image retrieval,a relevance feedback mechanism based on support vector machines is invoked.The experiment results show that this method is effective.