摘要
双直方图均衡化是一种经典的亮度保持的图像对比度增强算法。为了使直方图分割与图像聚类相关联,提出一种基于K-Means图像分割的双直方图均衡算法。首先利用K-Means对图像进行聚类,得到两个子图像;然后再对两个子图像分别进行直方图均衡;最后合并两个子图。实验结果表明,该算法不仅保持了原图像亮度,而且其对比度增强效果比传统方法更自然。
Histogram equalization is a classical algorithm for image contrast enhancement. In order to associate histogram segmentation with image clustering, a double histogram equalization algorithm based on K-Means clustering is proposed. Firstly, K-Means method is used to cluster the image to obtain two sub-images. Then the two sub-images are respectively processed using histogram equalization. Finally the two sub-images are merged. The experimental results show that the algorithm not only preserve the brightness of the original image well, but also makes the contrast enhancement effect more reasonable and natural than traditional methods.
作者
韩少刚
江巨浪
HAN Shaogang;JIANG Julang(School of Mathematics and Physics,Anqing Normal University,Anqing 246133,China;School of Electronic Engineeering and Intelligent Manufacturing,Anqing Normal University,Anqing 246133,China)
出处
《安庆师范大学学报（自然科学版）》
2021年第1期66-69,共4页
Journal of Anqing Normal University(Natural Science Edition)
