Minority Costume Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram

DOI

10.2991/ijndc.2016.4.4.5How to use a DOI?

Keywords

Color Histogram; Edge Orientation Histogram; Minority Costume; Image Retrieval.

Abstract

It has very important practical significance to analyze and research minority costume from the perspective of computer vision for minority culture protection and inheritance. As first exploration in minority costume image retrieval, this paper proposed a novel image feature representation method to describe the rich information of minority costume image. Firstly, the color histogram and edge orientation histogram are calculated for divided sub-blocks of minority costume image. Then, the final feature vector for minority costume image is formed by effective fusion of color histogram and edge orientation histogram. We have evaluated the performances of the proposed algorithm on self-build minority costume image dataset, and the experimental results show that our method can effectively express the integrated feature of minority costume images, including color, texture, shape and spatial information. Compared with some conventional methods, our method has higher and stable retrieval accuracy.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Xu-mei Shen
AU  - Ju-xiang Zhou
AU  - Tian-wei Xu
PY  - 2016
DA  - 2016/10/03
TI  - Minority Costume Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram
JO  - International Journal of Networked and Distributed Computing
SP  - 243
EP  - 251
VL  - 4
IS  - 4
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2016.4.4.5
DO  - 10.2991/ijndc.2016.4.4.5
ID  - Shen2016
ER  -