Image Retrieval by Shape Based on Contour Techniques A Comparative Study

Abstract

In content-based image retrieval shape is an important low-level image feature. A shape representation should satisfy several properties such as affine invariance, robustness, compactness, low computation complexity and perceptual similarity measurement. This paper presents several approaches for shape representation and similarity, like Fourier descriptors-based method, turning angle method, centroid-radii method, distance histograms method and centroid-radii and turning angle method. The comparison results are presented, too.