基于数学形态学的自适应图像增强  

Enhancement of Self-adaptive Image Based on Mathematical Morphology

作　　者：马光春[1] 

机构地区：[1]喀什师范学院信息工程技术系,新疆喀什844008

出　　处：《喀什师范学院学报》2010年第6期33-36,共4页Journal of Kashgar Teachers College

摘　　要：提出了一种基于数学形态学的多尺寸、多结构元素自适应边缘检测、增强图像的算法,用多结构的元素和大小不同尺度的元素先后检测图像的边缘,并按一定的权值进行融合处理来增强图像.实验结果表明,该算法可以较好地提取图像的边缘特征,保护图像的细节,增强图像的对比度,丰富图像的层次,且对噪声有较强的滤除作用.It puts forward a method based on mathematical morphology, multi-scale adaptive structure elements, enhancing the image edge detection with many elements of the structure and size of the elements of different scales of image edge detection successively, and according to certain weights to enhance image fusion. Experimental results show that this algorithm can extract image edge character, protect the detail of image, enhance the image contrast, enrich the image levels and filter the noise effectively.

关 键 词：图像增强 边缘检测 自适应 信息熵 多结构 多尺度 滤除噪声 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]