计算机视觉在轮缘磨损检测中的应用研究
摘 要
为了提高轮缘磨损测量的精度和检测速度,首先综合了当前的一些摄像机定标算法,在实验的基础上,针对工程实际中对算法的要求,提出了一种处理过程较为简单的定标处理算法。然后,在简单微分算子和经典的八邻域搜索法的基础上,提出了一种新的边界生长方法,实验证明,此定标算法不仅实现简单,而且能够满足工程上的精度要求,边界生长算法处理速度快,而且对边界的提取效果也良好,具有一定的实用价值。
关键词
A Study on Applying Computer Vision in Detection of Wheel Wear
() Abstract
To obtain high accuracy and real time processing in wheel wear detection, firstly, the article put forward a method of camera calibration based on the previous research, which simplified the computationin camera chlibration by use of the special features in this imaging system; secondly, it suggested a new edge growing method based on easy differential algorithm and the classical 8 neighbor fields method. in which the neighbor area of a pixel on the wheel edge is analyzed in datail and then the method was put forward according to the special character of wheel image. It has been verified by the test on spot that the calibration algorithm is easy to be realized and can meet the accuracy requirement and that the edge growing algorithm is fast enough to be processed in real time and can obtain the better tracking result. In a word, the algorithms are effective and of a certain value.
Keywords
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