机械科学与技术2011，Vol.30Issue(7)：1120-1123,4.
一种基于USAN的特征点检测算法
An Algorithm for Feature Points Detection Based on Univalue Segment Assimilating Nucleus
摘要
Abstract
The SUSAN（Smallest Univalue Segment Assimilating Nucleus） corner operator is proposed under the assumption that the corners to be detected are L-shaped,which results in SUSAN operator′s limitations in using USAN（Univalue Segment Assimilating Nucleus） region′s size as the criterion.In fact,wrong detections often happen when the USAN region′s size is equal to half of the area of the SUSAN circular mask.A ring-shaped mask was attached within the SUSAN circular mask based on the analysis of essential distinction of various image features and the times of intensity change was used as the criterion to overcome the deficiency of SUSAN operator.In addition,the USAN region is obtained by using a fixed brightness difference threshold,which is disadvantageous for corner detection with different contrast image.Therefore,we propose an iterative calculating method for brightness difference threshold,and calculates the brightness difference threshold of the corresponding SUSAN circular mask at each pixel location by iterative operation whereby to obtain a more pretty USAN region.The proposed algorithm provides double assurance by using the size of USAN region as the first criterion and supplementing the times of brightness change as the second criterion.Experimental results show that the algorithm can accurately and reliably extract various types of corners.关键词
USAN区域/特征点检测/SUSAN算子/灰度差阈值Key words
USAN region/feature points detection/SUSAN operator/brightness difference threshold分类
信息技术与安全科学引用本文复制引用
杨幸芳,黄玉美,李艳,高峰..一种基于USAN的特征点检测算法[J].机械科学与技术,2011,30(7):1120-1123,4.基金项目
国家重大专项项目（2009ZX04001-065）资助 （）
