The Corner Detection of Image based on Harris Algorithm
Rong Chen · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
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.