关键词: 图像检索, 边缘方向直方图, 聚合边缘方向直方图, 形状描述

Abstract: This paper presents a novel approach for edge-based shape retrieval for improving the conventional algorithm of image retrieval based on edge orientation histogram. It extracts the image edge by the algorithm of the wavelet transform based on maximum model. It gets the coherence edge direction histogram which depends on the edge point’s directions and correlation between neighboring edges. It counts the similarity by circular shift, and then applies it to image retrieval. Experimental results show that the algorithm has the robustness against illumination changes, position translation, scale and rotated image and a superior image retrieving performance.

Key words: image retrieval, edge direction histogram, coherence edge orientation histogram, shape representation