An Angle Structure Descriptor for Image Retrieval  

作　　者：Meng Zhao Huaxiang Zhang Lili Meng 

机构地区：[1]School of Information Science and Engineering, Shandong Normal University [2]Institute of Data Science and Technology, Shandong Normal University

出　　处：《China Communications》2016年第8期222-230,共9页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China (No.61170145, 61373081, 61402268, 61401260, 61572298);the Technology and Development Project of Shandong (No.2013GGX10125);the Natural Science Foundation of Shandong China (No.BS2014DX006, ZR2014FM012);the Taishan Scholar Project of Shandong, China

摘　　要：This paper presents an efficient image feature representation method, namely angle structure descriptor(ASD), which is built based on the angle structures of images. According to the diversity in directions, angle structures are defined in local blocks. Combining color information in HSV color space, we use angle structures to detect images. The internal correlations between neighboring pixels in angle structures are explored to form a feature vector. With angle structures as bridges, ASD extracts image features by integrating multiple information as a whole, such as color, texture, shape and spatial layout information. In addition, the proposed algorithm is efficient for image retrieval without any clustering implementation or model training. Experimental results demonstrate that ASD outperforms the other related algorithms.This paper presents an efficient im- age feature representation method, namely angle structure descriptor （ASD）, which is built based on the angle structures of images. According to the diversity in directions, angle structures are defined in local blocks. Combining color information in HSV color space, we use angle structures to detect images. The internal correlations between neighboring pixels in angle structures are explored to form a feature vector. With angle structures as bridges, ASD extracts image features by integrating multiple information as a whole, such as color, texture, shape and spatial layout in- formation. In addition, the proposed algorithm is efficient for image retrieval without any clustering implementation or model training. Experimental results demonstrate that ASD outperforms the other related algorithms.

关 键 词：image retrieval angle structure descriptor HSV color space local descriptor 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]