Shape retrieval using multiscale ellipse descriptor

摘要

In this paper, a novel multiscale ellipse descriptor (MED) method is proposed for shape description and matching. MED extracts the competitive features of shape contour by measuring the spatial location relationship between contour sample points and topology structure information of segmented multiscale zone. This method not only has the discriminative ability to describe the global and local information, but also is robustness to various linear (rotation, scale and translation transforms) and non-linear (irregular intra-class deformation) transforms. Experimental results on two public available databases consistently demonstrate that, our proposed method is effective and efficient when compared with other state-of-the-art shape retrieval benchmarks (such as 9.72% higher and 64 times faster than popular IDSC method on leaf 100 dataset).