基于细节增强的自适应Harris角点检测算法  

AN ADAPTIVE HARRIS CORNER DETECTION METHOD BASED ON DETAILED COEFFICIENTS ENHANCEMENT

作　　者：张黎[1] 马燕[1] 李顺宝 

机构地区：[1]上海师范大学信息与机电工程学院,上海200234

出　　处：《计算机应用与软件》2012年第4期253-255,共3页Computer Applications and Software

基　　金：校世博专项(SK201053);校基金项目(SK201028)

摘　　要：针对传统Harris角点检测法计算速度较慢、聚簇现象较严重和在纹理信息少的区域提取角点数较少等不足,提出一种自适应Harris角点检测法,该算法利用巴特沃斯滤波器增强小波细节系数,通过计算角点响应函数的二阶值设定自适应阈值,从而提高Harris角点检测的精度和效率。实验表明,与传统的Harris角点检测法比较,该方法检测速度较快、角点的分布较均匀,且伪角点较少。To improve the weakness of Harris corner detection algorithm such as slow computing speed,serious cluster phenomenon and less corners extracted in weak texture information area,an adaptive Harris corner detection method is proposed in the paper.It enhances the wavelet detailed coefficients by using Butterworth filter and sets an adaptive threshold by calculating the second order of corner response function,therefore the accuracy and efficiency of Harris corner detection method are all improved.Experimental results show that,compared with classical Harris corner detection method,the proposed one has rapid detection speed,uniform distribution of corner and less pseudo corners.

关 键 词：小波变换 角点检测 自适应阈值 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]