基于hough变换的角度检测和特征识别

Angle Detection and Feature Recognition Based on Hough Transform

hough变换是图像处理中直线检测的一种常用算法,但是标准hough变换运算量大,处理速度慢。本文针对具体实例对标准hough,动态广义hough的映射策略和时空指标作了深入研究,并在动态广义hough算法实现上作了一些改进。最后,利用hough变换和质心相结合的方法实现图像的特征识别。

Hough transform is a widely used in line checking algorithm in image processing, however the standard algorithm must process much data and the algorithm is carried out slowly. The paper analyzed the map strategy and performance between standard hough transform and dynamic generalized hough transform aiming at certain image, and discussed a simple and improved method of performance according to dynamic generalized hough transform algorithm. Experiment results show that the method can improve the efficiency and speed. At last, character of certain image is recognized based on hough transform and image centroid.