模板匹配优化耦合图像校正的旋转工件目标定位算法  

The Research and Application on the Rotary Workpiece Recognition Based on Canny Detect and SIFT Features

作　　者：胡明星[1] 王小兰[2] 

机构地区：[1]华中师范大学武汉传媒学院,武汉430205 [2]华中科技大学计算机科学与技术学院,武汉430074

出　　处：《组合机床与自动化加工技术》2016年第6期35-38,42,共5页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金项目(60673010);湖北省教育厅项目(D201118007)

摘　　要：为了解决当前工件定位算法难以有效识别带有旋转角度的目标,且计算复杂度大等不足,文章设计了基于Canny检测与SIFT特征的旋转工件目标识别算法。首先,对采集工件图像的RGB三通道完成权重分配,获取灰度化图像;并利用Canny边缘检测和霍夫直线检测处理灰度图像,计算出工件旋转角度;并基于几何变换,定义图像校正模型,消除工件旋转角度,对其完成复位处理,并采用模板匹配在图像中定位工件。最后分别提取模板工件与待识别工件的SIFT特征,计算欧式距离,以度量相似性,完成工件目标识别。实验数据显示:与当前识别算法相比,在面对带有旋转角度工件时,文中工件目标识别算法具备更高的准确性和鲁棒性。Industry in the field of vision, it is necessary to identify all kinds of artifacts with rotation Angle,and at present most there is larger error recognition algorithm. With rotation Angle in order to improve the recognition rate of work piece, this paper puts forward a set of based on hough transform and the rotation of the SIFT features of target recognition system,and the program implementation. First using Canny edge detection and Hough straight line detection,the gray image processing,calculation work a rotation Angle.Then based on the geometric transform correction work piece Angle,and USES the template matching positioning the work piece in the image. Finally respectively extracted template SIFT features of work piece and to identify the artifacts,calculate the Euclidean distance, similarity measure,complete work piece target recognition.Verified by the experiment, this article artifacts the accuracy and robustness of target recognition algorithm is superior to the common algorithm,and meet the requirements of practical engineering.

关 键 词：霍夫变换 几何变换 SIFT 模板匹配 目标识别 

分 类 号：TH161[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]