计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (17): 178-182.

• 图形、图像、模式识别 • 上一篇    下一篇

视觉检测中的光照强度优化研究

于丽杰1,2,李德胜2,董南萍1   

  1. 1.北京联合大学 自动化学院,北京 100101
    2.北京工业大学 机电技术研究所,北京 100022
  • 出版日期:2012-06-11 发布日期:2012-06-20

Research on lighting intensity optimum in vision inspection system

YU Lijie1,2, LI Desheng2, DONG Nanping1   

  1. 1.College of Automation, Beijing Union University, Beijing 100101, China
    2.Mechanical and Electronic Technology Research Centre, Beijing University of Technology, Beijing 100022, China
  • Online:2012-06-11 Published:2012-06-20

摘要: 为了实现自适应控制光照强度,保障视觉检测系统获得高质量原始图像,研究了彩色图像成像感知模型,建立了图像灰度值与光源光照强度的关系,提出基于HIS彩色空间,单独使用I分量进行光照强度评价,给出了基于数字图像的清晰度和高频信息的光照强度评价函数,并设计了光照强度调控实验系统,通过实验分析了不同测度函数对光照强度变化的评价结果,取得了与人类主观评价一致的结果。实验结果表明,通过提出的方法控制光源强度,可以使视觉系统获得高质量的原始图像,保证检测的质量和精度。

关键词: 视觉检测, 成像模型, 照度优化, 图像质量

Abstract: In order to achieve adaptive control of lighting intensity and ensure capture high-quality original images in the active vision inspection system, the paper studies the model of color image perceiving, and establishes the relationship between the image gray value and light distribution of the light source, proposes a method by means of I component based on the HIS color space to evaluate the lighting intensity, and the illumination evaluation functions based on definition and high frequency of image are presented. An illumination adjustment system is developed and realized to test and solve above issues. Experimental results show that the correct illumination configurations are especially important for image quality, and the evaluation results by means of different evaluation function are identical with the results of human subjective evaluation, thereby adjusting intensity of light can ensure capture high-quality original images and the measuring accuracy can be satisfied.

Key words: vision inspection, imaging model, illumination optimization, image quality