The Corner Detection of Image based on Harris Algorithm

DOI

10.2991/isrme-15.2015.217How to use a DOI?

Keywords

Image Processing;Corner Detection;Harris Algorithm;Feature;Threshold

Abstract

Image matching is a key technology to be solved in the fields of digital image processing and computer vision.Matching based on feature points is most widely used now.How to locate the right feature points is a vital issue.Only accurate feature points can lead right matching results. The corner is one of the important features of images. Corner detection plays an important role in image processing and computer vision,which is a kind of important feature extraction method in image processing.In order to improve the accuracy of corner detection in image,and remove noise interference effectively,the paper introduces a method of corner detection based on Harris algorithm,which are described briefly the basic principle and basic implementation process.The experiment shows that this algorithm is simple and easy to operate,the corner extracted are very effective.This method makes the precision and efficiency of image registration improved greatly.

Copyright

© 2015, 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  - Rong Chen
PY  - 2015/04
DA  - 2015/04
TI  - The Corner Detection of Image based on Harris Algorithm
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1040
EP  - 1043
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.217
DO  - 10.2991/isrme-15.2015.217
ID  - Chen2015/04
ER  -