Application of Brightness Normalization in Image Processing

Cai Jian-xin; Wang Ren-huang; Huang Yin-yi

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Application of Brightness Normalization in Image Processing

更新时间：2026-05-27

- Application of Brightness Normalization in Image Processing
- Vol. 25, Issue 4, Pages: 65-68(2008)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：01 March 2008，
  
  Published：2008
- 稿件说明：
移动端阅览
蔡建新, 汪仁煌, 黄颖怡. 亮度归一化在图像处理中的应用[J]. 广东工业大学学报, 2008, 25(4): 65-68.

Cai Jian-xin, Wang Ren-huang, Huang Yin-yi. Application of Brightness Normalization in Image Processing[J]. 2008, 25(4): 65-68.
蔡建新, 汪仁煌, 黄颖怡. 亮度归一化在图像处理中的应用[J]. 广东工业大学学报, 2008, 25(4): 65-68. DOI：

Cai Jian-xin, Wang Ren-huang, Huang Yin-yi. Application of Brightness Normalization in Image Processing[J]. 2008, 25(4): 65-68. DOI：

摘要

针对工业现场图像识别系统中光照不均匀、不稳定的问题

提出了一种基于二次曲线拟合和直方图统计的图像亮度归一化方法.利用二次曲线拟合的方法将同一幅图像的各个部位均衡化

再应用直方图统计的方法将不同光照图像归一化到相同的亮度状态

从而使得光照强度不再影响检测结果.

Abstract

Regardirer the problem of varying lighting in industrial Image processing pipeline system

this paper(introduces) a brightness normalization method of image by using conics fitting and statistical moments of histogram.First

it used conics fitting method to equalize the image’s brightness of each section

and then adjusted different illumination images to the same brightness level by applying the histogram statistics method.Thus

the strength of illumination no longer affects the test result.

关键词

Keywords

references

高淑欣,穆志纯. 人耳识别中的图像归一化研究[J]. 控制工程. 2008(01)

胡钊政,谈正. 利用二次曲线拟合和圆环点进行摄像机标定[J]. 西安交通大学学报. 2006(10)

赵爱明. 基于二次曲线拟合的图像亚像素边缘定位算法[J]. 哈尔滨理工大学学报. 2006(03)

朱浩栋,陈瑛,章鲁. 医学图像灰度归一化方法研究[J]. 国际生物医学工程杂志. 2006(03)

宋培华,陆宗骐,高敦岳. 归一化内标法的灰度级校正在图像识别中的应用[J]. 小型微型计算机系统. 2002(03)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Study of Power Quality Regulation Strategies of Energy Storage Converters

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

Modeling of 3D NAND Memory Cells with Taper Angle and Programming Strategy Optimization

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Efficient Temporal Modeling for RGB-T Tracking

Related Author

No data

Related Institution

No data

AI问答

⁰