Abstract:A new shape descriptor with fusion contour and region information is proposed in order to represent the shape characteristics of the image more accurately. Apply two-dimensional Discrete Cosine Transform(DCT) to obtain the low-frequency coefficients as regional characteristics. Then extract and sample the contours of image, and get the ordered list of points. Track each sampling point equidistantly clockwise and counterclockwise to get two adjacent points, and calculate the arch-height and centroid distance. Construct a complex function of arch-height and centroid distance, and obtain the DCT coefficients, then combine regional and contour features. Retrieval experiments on MPEG-7 shape database show that, the retrieval performance of this descriptor is better than that of the triangle area function, the centroid distance function, and arch-height radius complex function significantly.