摘要
针对传统图像滤波算法在滤除噪声的同时也会丢失掉一些图像细节信息的缺点,提出了一种基于图像增强的滤波算法。该算法根据待检测像素周围3×3邻域的像素平均灰度值和待检测像素的梯度值,并结合人眼视觉特性自适应地生成动态阈值。该算法能够在抑制噪声的同时,增强图像的对比度和图像边缘信息。
As traditional image filtering algorithm may lose some image detail information while eliminating noise, an image filtering algorithm based on image enhancement is proposed. In the algorithm, adaptively automatic threshold is calculated according to the mean value of the 3×3 area pixels around the detecting pixel and gradient of the detecting pixel and the human vision system（HVS）. The algerithm can not only restrain noise, but also enhance the eontrast with the edge of the image. By comparing the results of the new algorithm and those of other original image filtering algorithms, the new algorithm is outstanding.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第7期822-825,共4页
Geomatics and Information Science of Wuhan University
基金
河南省科技计划资助项目(0624220104)
国家自然科学基金资助项目(60702063)
关键词
图像滤波
图像增强
自适应阈值
image filter
image enhancement
adaptive threshold
作者简介
康牧，副教授，博士生，研究方向为智能信息处理与模式识别。E—mail：kmuwd@sina．com
