摘要
角点检测是图像处理中的一种重要的特征提取方法,为了改进角点检测算子的检测性能,提高角点检测的精度,降低检测出伪角点的概率,针对Harris角点算法的阈值受人为给定的限制的缺陷,提出了一种基于双阈值的Harris角点检测,利用小阈值T1来检测角点,利用大阈值T2来限制伪角点的出现,并通过大量实验总结出大小两阈值的关系,获得良好的检测性能。
Corner detection is a kind of important characteristic extraction method in image processing. In order to improve the detection performance of corner detection operator and hence improve the accuracy and reduce the probability of detecting false corner detection, a method based on dual-threshold Harris corner detection algorithm is presented to overcome the defects of Harris corner threshold values affected by artificial setting limits. The small thresholds are used to detect the corner points, and the large thresholds are used to limit the emergence of false corner points. The relationship between the two threshold val- ues is summarized through a large number of experiments to obtain good detection performance.
出处
《河北科技大学学报》
CAS
2013年第4期330-333,共4页
Journal of Hebei University of Science and Technology
基金
国家自然科学基金(60974018
61273188)
河北省自然科学基金(F2012208075)
关键词
HARRIS
角点检测
双阈值
Harris
detection of corner
double threshold value
