| 一种自动分段的灰度线性拉升算法 |
| |
| 引用本文： | 张俊生,侯慧玲,陈志强.一种自动分段的灰度线性拉升算法[J].佳木斯工学院学报,2011(6):860-862,866. |
| |
| 作者姓名： | 张俊生 侯慧玲 陈志强 |
| |
| 作者单位： | [1]太原工业学院电子工程系,山西太原030008 [2]中北大学仪器科学与动态测试教育部重点实验室,山西太原030051 |
| |
| 基金项目： | 教育部高校博士点专项科研基金（20100501JJ）; 山西省青年科技研究基金（2009021019-2） |
| |
| 摘 要： | 灰度分段线性拉升是图像增强技术中使用较多的一种算法,其关键是分段点的选择.常见的自动选择方法是以原始图像中的最小、最大灰度值为分段点,它对于灰度范围分布很广的图像增强效果有限,适用范围窄.本文通过对原始图像直方图的分析,借助于其累积直方图反映的灰度分布特点,提出了一种在图像累积直方图上设置上限阈值和下限阈值来自动确定分段点的方法,具有更好的增强效果.通过实验仿真的对比分析,该算法能够有效改善原始图像的视觉质量,广泛适用于机器视觉中的预处理.
|
| 关 键 词： | 分段点 线性拉升 直方图 |
An Automatic Identification of Subsection Point for Gray Value Linear Transformations |
| |
| Authors: | ZHANG Jun-sheng HOU Hui-ling;CHEN Zhi-qiang |
| |
| Affiliation: | 1.Department of Electronic Engineering,Taiyuan Institute of Technology,Taiyuan 030008,China;2.Key Laboratory of Instrumentation Sciences and Dynamic Testing,Ministry of Education,North University of China,Taiyuan 030051,China) |
| |
| Abstract: | Subsection linear transformation is widely used in image enhancement technique,and selection of the subsection point is the key of original image enhancement.The gray value normalization is a common automatic method of subsection point,which uses the maximum and minimum values as subsection points in the original image.But this method doesn＇t work when the original image has wide dynamic range of gray value.Through the analysis of the original image histogram,an improved method was proposed which selects subsection points by setting high and low thresholds in the accumulation of gray histogram.The experimental results show that this algorithm can provide a greater visual effect of original image and may be used widely. |
| |
| Keywords: | subsection point linear transformation histogram |
| 本文献已被 维普 等数据库收录！ |
|
