| 基于分段直方图均衡化技术的图像增强 |
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| 引用本文： | 黄展鹏.基于分段直方图均衡化技术的图像增强[J].数字社区&智能家居,2008(6):1292-1293. |
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| 作者姓名： | 黄展鹏 |
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| 作者单位： | 广东药学院医药信意工程学院,广东广州510006 |
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| 摘 要： | 分析了传统灰度图像直方图均衡化算法存在的优缺点，提出了基于分段直方图均衡化技术的图像增强算法。该算法基于图像的特点，利用K均值聚类算法将图像分成几个灰度区间，然后再分别进行均衡化。实验结果表明，该算法对灰度呈现两端分布且低灰度区域有较多像素点分布的图像有较好的增强效果。
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| 关 键 词： | 直方图均衡化 K均值聚类算法 图像增强 |
Image Enhancement Based on Subsection Histogram Equalization |
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| HUANG Zhan-peng.Image Enhancement Based on Subsection Histogram Equalization[J].Digital Community & Smart Home,2008(6):1292-1293. |
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| Authors: | HUANG Zhan-peng |
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| Affiliation: | HUANG Zhan-peng (College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China) |
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| Abstract: | Advantages and disadvantages on histogram equalization（HE） algorithm are analyzed, and an image enhancement algorithm based on separate （subsection） histogram equalization was presented. According to the characters of the images, the algorithm separated image into several regions by K-means clustering algorithm, and each region is equalized respectively within their gray levels, Experiments showed that the algorithm is effective for dispersive and low gray level distributing image. |
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| Keywords: | image histogram K-means clustering image enhancement |
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