%0 Journal Article
%T Two-level deformed target locate algorithm based on the variant of generalized Hough transform<br>形变冗余的改进GHT目标双层定位方法研究
%A Hu Zhengping
%A Gao Yanan
%A <br>胡正平
%A 高亚男
%J 中国图象图形学报
%D 2011
%I 
%X Classic generalized Hough transform (GHT) can locate non-deformed shape object, while it is difficult to solve the problem when the target is similar but not necessarily identical to the user or deformation. A two level deformed target locate algorithm based on variant of the well-known GHT for solving this problem is presented. Firstly a two-level locationscheme from coarse to fine strategy is introduced to reduce search range from whole image space, in coarse location step, the edge local binary pattern (LBP) histogram features are extracted to detect the range of the target. In fine location step, making use of the edge points of the image detected and the R-table obtained from the template image to search the feasible parameter, and a large dispersion window used to merge vote results because there is non-perfectly aligned points near the optimal parameters. The experiment results demonstrate that the method is effective to the deformed target locating while time and memory cost is much less, and it is valuable in many applications.
%K generalized Hough transform
%K local binary pattern histogram
%K object location
%K accumulator matrix<br>广义Hough变换
%K 局域二进制模式直方图特征
%K 目标定位
%K 累积矩阵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=DD906E469825E45B3FDC8A40E0BD495A&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=CA4FD0336C81A37A&sid=771152D1ADC1C0EB&eid=9FFCC7AF50CAEBF7&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=18