Research on the Effective Image Retrieval Algorithm based on the Edge Detection and Morphological Analysis

DOI

10.2991/emcs-17.2017.158How to use a DOI?

Keywords

Morphological analysis; Edge detection; Image retrieval; Effective methods

Abstract

In this paper, we conduct research on the effective image retrieval algorithm based on the edge detection and morphological analysis. In the process of image retrieval, the traditional method, because of the disturbance to the environment and the filming equipment considered inadequate, because the filming resolution, basic brightness, light, the influence of shooting angle and the filming equipment to the characteristics of its image as a whole diversification, unable to effectively retrieve images or inaccurate image retrieval problem. Obtaining image classifier, through the classifier for calculation, the relative distance between all the images according to their distance from big to small order, output the final result. Under the background, we integrate edge detection and morphological analysis to form the revised version of the issues that is meaningful.

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  - CONF
AU  - Xinxin Xie
AU  - Wenzhun Huang
PY  - 2017/03
DA  - 2017/03
TI  - Research on the Effective Image Retrieval Algorithm based on the Edge Detection and Morphological Analysis
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 828
EP  - 833
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.158
DO  - 10.2991/emcs-17.2017.158
ID  - Xie2017/03
ER  -