改进的基于Facet模型的亚像素边缘检测  

Improved Sub-pixel Edge Detection Method Based on Facet Model

作　　者：马睿[1,2] 曾理[1,2] 卢艳平[1] 

机构地区：[1]重庆大学光电技术及系统教育部重点实验室ICT研究中心,重庆400044 [2]重庆大学数理学院,重庆400044

出　　处：《应用基础与工程科学学报》2009年第2期296-302,共7页Journal of Basic Science and Engineering

基　　金：国家自然科学基金(No.60672098);重庆市科技计划攻关项目(CSTC2006AB3027);教育部春晖计划项目(Z2005-2-63001)

摘　　要：在图像测量等工程应用中,需要获得目标的高精度图像边缘信息.本文首先介绍了一种基于Facet模型的亚像素边缘检测算法,该方法具有抗噪能力强,定位精度高等优点,但是计算复杂度太高.针对此缺点,本文研究了一种改进算法,将其与Mallat的小波变换模极大算法有效的结合,不仅处理速度提高了10倍左右,而且所提取的边缘效果也有所改善.实验结果表明,本文的方法不仅能获得高精度的边缘信息,抗噪能力强,而且处理速度快.In the applications such as image measurement, edge information in high accuracy of the object is required. First, a sub-pixel edge detection method based on Facet model is introduced, the method can reduce noise and achieve high accuracy, but its computational complexity is too high. Aimed at making up this disadvantage, we studied an improved method, which combined the Facet model and MaUat＇ s maximum wavelet module approach effectively. The wavelet method is used to extract wide preparatory edge, while restrain some noise. Then the method based on Facet model merely processes preparatory edge points and further obtains sub-pixel edge. Experiments show that the improved method not only increases the speed of Facet model about 10 times, but also provides more continue accurate edge and reduces noise.

关 键 词：FACET模型 亚像素 边缘检测 小波变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]