基于模糊理论的煤矿井下图像增强算法  

Enhancement Algorithm of Underground Mine Image Based on Fuzzy Theory

作　　者：蔡利梅[1] 钱建生[1] 赵杰[1] 闫映宏[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《煤炭科学技术》2009年第8期94-96,共3页Coal Science and Technology

摘　　要：煤矿井下照度低且光照不均匀,成像质量较差,图像的可分辨性能较差,增加了监控识别难度。针对井下图像,提出基于模糊理论的增强算法,构造一个线性模糊化函数;与传统的模糊增强算法增强对比度相反,实现了高亮区的抑制,低亮区的增强;进一步调整了模糊增强后的图像对比度,避免对比度的降低。试验表明该算法在一定程度上消除了煤矿井下图像光照不均匀的现象。The light intensity is low and unevenly distributed in underground coal mine. Low quality and limited resolution of the image increase the surveillance＇s burden. In this paper, proposed an algorithm using fuzzy set to enhance the coal mine images. This algorithm is different fi＇om the traditional image fuzzy enhancement which enhances the contrast. However, it first improves the visibility of the dark region and restrains the glaring region, then adjusts the contrast of the image enhanced. The test has shown that this algorithm can enhance coal mine image nicely and eliminate the phenomenon non-uniform illumination for underground coal mine image to some extent.

关 键 词：图像 模糊增强 模糊化函数集 煤矿井下 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]