一种基于粗集理论的图像增强方法  

Image Enhancement Method Based on Rough Set Theory

作　　者：邹兴文[1] 张葛祥[2] 

机构地区：[1]西南交通大学信息科学与技术学院,成都610031 [2]西南交通大学电气工程学院,成都610031

出　　处：《微计算机信息》2008年第21期296-298,共3页Control & Automation

基　　金：国家自然科学基金资助项目(60702026);复杂体制雷达辐射源信号本征时频原子特征挖掘模型与算法(60572143);复杂体制雷达辐射源信号分选识别机理与模型颁发部门:国家自然科学基金委员会

摘　　要：图像增强是一种基本的图像预处理手段,对图像的进一步处理有十分重要的作用。张东波等提出了一种基于粗集理论的图像边缘增强方法,该方法在有效去除噪声的同时,能使图像边缘细节得到一定程度的保护,但该方法的计算量较大、图像增强效果不够理想。为了进一步提高图像增强的效果,减小算法计算量,本文提出基于粗集理论在空域采用3×3滑动窗口的图像增强方法。实验结果表明,该方法在图像增强效果和时间复杂性方面均优于传统方法和张东波等提出的方法。Image enhancing is a basic method for image preprocessing, and also plays a very important role in dealing with images further. An approach for enhancing image edge based on rough set theory, presented by Dongbo Zhang, can remove noise effectively and preserve the details of image edges to a certain degree. But this approach needs large computational efforts and the enhanced image effect is inadequate. In order to improve further the effect of image enhancement and to reduce the computational complexity, this paper proposes a new method based on rough set theory for image enhancement. In this method, a slide window of is used in space domain. Experimental results show that the introduced method is superior to traditional methods and the approach presented by Dongbo Zhang in terms of image enhancement effect and time complexity.

关 键 词：图像增强 粗集理论 方向模板 图像滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]