摘要
边缘检测算法是图像处理中的一个重要的研究内容。该算法的好坏直接影响着图像处理的结果。常用的检测算法常常不能满足特定情况下的要求(例如实时跟踪下的图像处理)。在分析了灰度图像各种边缘检测算法的特性的基础上,根据具体需求,对灰度不均匀的图像边缘检测算法进行了改进。实验表明,在图像对比度较差的情况下,应用灰度变换增强后,配合相应的边缘检测算法,可以大大减少运算量,与原来的算法相比,能够取得较好的效果。
Edge detection algorithm is an important research content of image processing.The accuracy of the results of image processing will be directly affected by this algorithm,and the common detection algorithms cannot meet the specific circumstances（Such as real-time tracking of image processing）.Based on the characteristic of various edge detection algorithms of gray image,and according to the specific needs,an improved edge detection algorithm is proposed for non-uniform gray image.Experimental results show that,for the case of poor image contrast,with application of grey enhancement of transformation and the appropriate edge detection algorithm,the improved algorithm can greatly reduce the computation.In contrast to original algorithm,the improved algorithm gets the better results.
出处
《科学技术与工程》
2010年第36期9010-9013,9023,共5页
Science Technology and Engineering
关键词
灰度
图像
边缘检测
算子
分析
gray image edge detection operator analysis
