广东工业大学学报 ›› 2016, Vol. 33 ›› Issue (06): 72-76.doi: 10.3969/j.issn.1007-7162.2016.06.013

• 综合研究 • 上一篇    下一篇

基于细节的背光图像检测

钟小芸, 许少秋, 戴知圣   

  1. 广东工业大学 信息工程学院，广东 广州 510006
  • 收稿日期:2015-08-10 出版日期:2016-11-18 发布日期:2016-11-18
  • 作者简介:钟小芸（1990-），女，硕士研究生，主要研究方向为图像处理.
  • 基金资助:

    国家自然科学基金资助项目（61201393，61202268）

Detail based Backlight Image Detection

Zhong Xiao-yun，Xu Shao-qiu，Dai Zhi-sheng   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2015-08-10 Online:2016-11-18 Published:2016-11-18

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摘要：

针对传统的背光图像检测算法低准确率的问题，提出一种基于细节的背光图像检测算法.通过分析图像在不同Gamma取值下细节数目的变化规律来确定输入图像是否是背光图像.实验结果显示，该方法相对于传统的亮度直方图分析方法以及YCrCb直方图分析方法具有更高准确率.

关键词: 背光检测； 图像细节； Gamma校正

Abstract:

 The previous backlight image detection algorithms such as intensity histogram-based method and the YCrCb histogram-based method are low in accuracy rate. A backlight image detection algorithm based on details is presented. The change of the number of details under various Gamma correction is analyzed for the determination of backlight images. The experimental results show that the proposed method outperforms the intensity histogram-based method and the YCrCb histogram-based method.

Key words: backlight detection; image details; Gamma correction

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