摘要
分析了漫射边缘的特征及其在亚像素边缘检测中存在的主要问题,针对目前亚像素边缘检测算法不适于漫射边缘的亚像素检测的问题,提出了一种新的针对漫射边缘的亚像素边缘检测算法。该算法充分利用了漫射边缘中的有效信息,在计算上具有通用性及简易性。同时,引入了高斯卷积平滑的预处理方法及Sobel算法对图像像素进行粗筛选,从而进一步提高了该算法的计算速度和精度。并且通过实验,验证了该算法的有效性及优越性,并分析了误差产生的原因。
The article analysed the characteristics of diffuse edge and the main problom about detection.Based on the summary of subpixel edge detection algorithms now mainly used, a novel subpixel edge detection algorithm has been put forward to solve problems, that traditional algorithms can’t been used in measuring diffuse edge. Based on the subpixel, universal and fast characteristics of one-dimensional mass center algorithm on three kinds of basic edge （step edge, pulse edge, roof edge）, the novel subpixel edge detection algorithm extends from one-dimensional to two-dimensional, complete using of edge information. Meanwhile Sobel algorithm and convolution fuzzy algorithm are introduced to shorten operation time and improved precision. The efficiency of the algorithm is proved by experiment and the reason of errors is analyzed.
出处
《传感技术学报》
CAS
CSCD
北大核心
2010年第7期973-977,共5页
Chinese Journal of Sensors and Actuators
基金
黑龙江省自然科学基金资助(AF200921)
关键词
漫射边缘
亚像素
边缘检测
快速通用算法
像素筛选
diffuse edge
subpixel
edge detection
fast and universal algorithm
pixel selection
