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基于LoG算子的图像边缘增强算法的改进
引用本文:吴熙,钱盛友.基于LoG算子的图像边缘增强算法的改进[J].电气电子教学学报,2007,29(4):25-27.
作者姓名:吴熙  钱盛友
作者单位:湖南师范大学,物理与信息科学学院,湖南,长沙,410081;湖南师范大学,物理与信息科学学院,湖南,长沙,410081
摘    要:图像边缘增强的目的是为了突出图像所包含的信息.图像的许多有用信息集中在图像的边缘部分,从频谱上说就是图像的高频部分,因而可以用加重高频来增强图像,常规方法是直接对图像锐化,这会加剧噪声对图像的影响.本文先用高斯-拉普拉斯算子检测出图像的高频部分,然后用最大方差比方法确定图像边缘,再针对边缘对图像进行增强处理.实验表明,该方法可有效抑制边缘增强后的噪声问题.

关 键 词:高斯-拉普拉斯算子  边缘检测  边缘增强
文章编号:1008-0686(2007)04-0025-03
收稿时间:2007-03-11
修稿时间:2007-06-08

Improved Edge Enhancement Algorithm Based on Gauss-Laplacian Operator
WU Xi,QIAN Sheng-you.Improved Edge Enhancement Algorithm Based on Gauss-Laplacian Operator[J].Journal of Electrical & Electronic Engineering Education,2007,29(4):25-27.
Authors:WU Xi  QIAN Sheng-you
Affiliation:College of Physics and Information Science, Hunan Normal University, Changsha , 410081, China
Abstract:The purpose of image edge enhancement is to stand out the information in the image. A lot of useful information in the image locates at its edge, i.e. high frequency content in its frequency spectrum, so pre - emphasis system can be used to enhance the image. The influence of noise on the image will be aggravated if the image is sharpened directly by conventional method. In this paper, the high frequency component in the image is detected with Gauss-Laplacian operator firstly, and then the edge of the image is obtained using maximum ratio of square error. Finally the image is enhanced especially for its edge. The experimental results show that this method can restrain the noise effectively after the edge enhancement.
Keywords:Gauss-Laplacian operator  edge detection  edge enhancement
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