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基于局部区域像素相似度的种子图像边缘检测

发表时间:2013-08-31  浏览量:1273  下载量:618
全部作者: 林海,邢燕,洪沛霖
作者单位: 合肥工业大学数学学院;安徽中医药大学医药信息工程学院
摘 要: 介绍一种基于局部区域灰度比较的边缘检测算法,比较像素与其邻域内每个像素的灰度,计算局部区域相似度,若相似度小于一定阈值则判断该点为边缘,阐述了该算法的原理并讨论该算法的模板以及阈值的选取方法。算法用Matlab实现。实验结果表明:该算法对噪声图像的边缘检测效果优于传统的边缘检测算法,且适用于含噪图像或低对比度图像的边缘检测。
关 键 词: 计算机图像处理;边缘检测;局部区域像素相似度;梯度算子
Title: Seed image edge detection based on local pixels similarity
Author: LIN Hai, XING Yan, HONG Peilin
Organization: School of Mathematics, Hefei University of Technology; School of Medical Information Engineering, Anhui University of Traditional Chinese Medicine
Abstract: This paper introduced an edge detection algorithm based on local area pixel similarity, which compares the gray level of the pixel with one of every pixel in its neighborhood, and calculates the local pixels’ similarity. If the similarity is less than a certain threshold, the pixel is identified as an edge point. The principle of the algorithm was elaborated and the selection methods of the template and threshold in the algorithm were discussed. This edge detector was realized in Matlab language. The experimental results showed that this edge detector was superior to traditional edge detection methods for noisy images, and this edge detection algorithm was suitable for noisy images or low-contrast images.
Key words: computer image processing; edge detection; local pixels similarity; gradient operator
发表期数: 2013年8月第16期
引用格式: 林海,邢燕,洪沛霖. 基于局部区域像素相似度的种子图像边缘检测[J]. 中国科技论文在线精品论文,2013,6(16):1508-1515.
 
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