关键词: 计算机应用, 图元识别, HOUGH变换, 平面轮廓

Abstract: 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.

Key words: computer application, primitive recognition, HOUGH transform, planar contour