一种基于图象分割的增强算法

Contrast Enhancement Algoritihm Based on Image Segmentation

图象增强作为图象处理常用的工具，目的是为了消除原始图象边缘模糊、对比度差等缺点，增强图象的视觉效果和为以后的处理工作提供方便。文中提出的算法基于Ｈａｒａｌｉｃｋ的斜面模型（ｓｌｏｐｅｄｆａｃｅｔｍｏｄｅｌ）［１］和Ｂｅｇｈｄａｄｉ的对比度增强算法［２］，新算法在增强图象边缘的同时，较好地保留了原始图象非边缘区域的信息，并对噪声具有抑制作用。

Image enhancement is a common procedure in order to enhance the contrast , sharpen the edge and optimize the visual quality of the input image, so that the resulting processed image is more suitable for a given application . The algorithm proposed in this paper , which is based on the sloped-facet model of Haralick and the contrast enhancement technique of Beghdadi, can enhance image efficiently while reducing noise, and it can preserve the original information of image perfectly.