桂林电子科技大学学报2017，Vol.37Issue(5)：401-405,5.
一种改进的Harris角点检测算法
An improved Harris corner detection algorithm
摘要
Abstract
Harris algorithm exist the problems of high computational cost,poor noise immunity,and the presence of unneces-sary corner cluster in the practical applications,so an improved Harris corner detection algorithm is proposed.The method uses the features from accelerated segment test to exclude a large number of non-feature points.Then the detected points as the initial point response function Harris performs non-maxima suppression,retain the local corner response function of maximum pixels point,and take these points as the center,in a certain corner radius search cluster,within tolerance is j ust only one feature point to reduce the influence of the angular point cluster.In order to improve the accuracy of image mosaic, after Harris corner is extracted,the coarse matching is done by NCC algorithm,then RANSAC algorithm is used to elimi-nate the false matching.The experimental results show that the improved method increases the speed of detection,removes a large number of pseudo corner points and unnecessary corner clusters.The effectiveness and feasibility of the proposed method is verified.关键词
角点检测/角点簇/非极大值抑制/图像拼接Key words
corner point detection/angular point cluster/non-maxima suppression/image mosaic分类
信息技术与安全科学引用本文复制引用
赵艳,江泽涛..一种改进的Harris角点检测算法[J].桂林电子科技大学学报,2017,37(5):401-405,5.基金项目
国家自然科学基金(61572147) （61572147）
广西高校图像图形智能处理重点实验室基金(GIIP201501) （GIIP201501）
广西可信软件重点实验室基金(KX201502) （KX201502）
广西研究生教育创新计划(YJCXS201536) （YJCXS201536）
