基于韦伯定律的过渡区提取及阈值分割  

Weber’s Law-based Transition Region Extraction and Thresholding

作　　者：邹小林[1] 冯国灿[2] 

机构地区：[1]肇庆学院数学与信息科学学院,肇庆526061 [2]中山大学数学与计算科学学院,广州510275

出　　处：《科学技术与工程》2013年第15期4217-4222,共6页Science Technology and Engineering

基　　金：国家自然科学基金项目(60975083;61272338)资助

摘　　要：近年来,基于过渡区的图像阈值分割方法成为图像分割中的一种新方法。针对有效平均梯度法和局部熵法没有同时考虑图像灰度变化的幅度和频率,通过分析过渡区域的属性,提出一种基于韦伯定律的过渡区阈值分割算法。韦伯定律可以有效地表示过渡区的本质。因此,提出算法能够准确地提取图像的过渡区,并得到理想的分割结果。根据一些图像分割的定量评价标准,做了一系列实验,与两种典型的过渡区阈值分割算法相比,提出算法的计算复杂度较低的同时还具有很好的提取图像的过渡区域和分割性能。Thresholding method based on transition region is a newly developed approach for image segmentation in recent years. Because the effective average gradient method and local entropy method do not simultaneously consider the amplitude and frequency of the change of the image gray, a new transition region extraction and thresholding method based on Weber’s law is proposed by analyzing properties of transition region. Weber’s law can effectively represent the essence of transition region. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. According to some evaluation standards for image segmentation result, a series of experiments show the proposed algorithm has low time complexity and good extracting transition region and segmentation performance compared with two typical transition region threshold segmentation algorithms.

关 键 词：韦伯定律 图像分割 阈值选取 过渡区域 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]