摘要
介绍了2种基于直方图的图像预处理算法和Gamma校正算法,通过实例比较,证实直方图规定化的总体效果优于直方图均衡化;提出了一种只对图像光照分量进行处理的方法,该方法增强了图像的对比度,且相对于基于全图的图像预处理方法来说保留了更多的细节信息;分别对图像的光照分量进行直方图规定化和Gamma校正处理,处理结果表明,对图像的光照分量层进行直方图规定化处理得到的效果最佳。
The paper introduced two histogram-based preprocessing algorithms and Gamma correction algorithm, proved that overall effect of histogram specification was better than histogram equalization by example comparing. It proposed a method only processing illumination component ratio of image, the method enhances contrast of image, and retains more detailed information than the image preprocessing method based on the whole image. The results of histogram specification and Gamma correction process to illumination component of image show that histogram specification gets the best results.
出处
《工矿自动化》
北大核心
2014年第3期79-82,共4页
Journal Of Mine Automation
基金
国家自然科学基金项目(50674075)
西安市科技计划项目(CXY1338(6))
关键词
煤矿井下
图像预处理
直方图规定化
GAMMA校正
光照分量
underground coal mine
image preprocessing
histogram specification
Gamma correction
illumination components