用HOUGH变换改进的曲率法识别平面轮廓图元

针对检测精度与检测速度两大指标,提出了用HOUGH变换改进的曲率法平面轮廓图元识别方法。开发了基于邻域值的轮廓点分类算法,采用曲率阈值法筛选轮廓点、投影高度法判别图元属性及分类轮廓点,构建了基于HOUGH变换的直线图元、圆弧图元分割与融合算法。对提出的方法分别进行了特征点检测精度与检测速度对比实验和特征点检测能力测试实验。实验结果表明,提出的方法图元识别准确、检测速度快、通用性好。

Planar Contour Primitive Recognition Based on Curvature Improved by HOUGH Transform

According to the inspection accuracy and inspection speed,a planar contour primitive recognition method based on curvature improved by HOUGH transform is proposed.A contour point classification algorithm based on neighborhood values is developed,and a curvature threshold method is selected to filter the contour points,and a projection height method is selected to distinguish the property of the primitive and classify the contour points,and the straight line primitive and arc primitive segmentation and merging algorithms are proposed and constructed respectively by HOUGH transform.The dominant point detection accuracy and detection speed contrast experiments and dominant point detection ability test experiment of the proposed method are carried out respectively.The experimental results indicate that the proposed method can recognize primitives exactly,the inspection speed is fast and the universality is good.