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基于多颜色空间的图像差异检测
引用本文:杨博文,孙永荣,刘晓俊,王潇潇,王勇. 基于多颜色空间的图像差异检测[J]. 计算机与数字工程, 2013, 41(10): 1678-1679,1712
作者姓名:杨博文  孙永荣  刘晓俊  王潇潇  王勇
作者单位:1. 南京航空航天大学自动化学院导航研究中心 南京210016
2. 中航工业雷达与电子设备研究院 苏州215000
摘    要:图像差异检测容易受光照环境影响而造成误检,论文针对如何排除图像的亮度信息干扰问题展开研究,文中提出了一种多颜色空间的图像差异检测方法,首先基于HIS颜色空间解除源图像的亮度耦合,然后再基于HSV颜色空间实施颜色分割,最后通过形态学操作实现图像差异检测。实验结果表明,该文方法在排除对比图像间的亮度信息干扰的情况下可有效检测图像差异,并对图像中的字符缩放、物体形变等细微差异具备良好的检测效果。

关 键 词:图像差异检测  HIS颜色空间  HSV颜色空间  形态学处理

Image Difference Detection Based on Multiple Color Space
YANG Bowen , SUN Yongrong , LIU Xiaojun , WANG Xiaoxiao , WANG Yong. Image Difference Detection Based on Multiple Color Space[J]. Computer and Digital Engineering, 2013, 41(10): 1678-1679,1712
Authors:YANG Bowen    SUN Yongrong    LIU Xiaojun    WANG Xiaoxiao    WANG Yong
Affiliation:1 Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016) (2. Radar and Avionics Institute of AVIC, Suzhou 215000)
Abstract:Image difference detection is easy to be mistakenly identified caused by vulnerable to illumination environmental impact. This paper, study how to eliminate interference with the brightness of the image information, and proposed a kind of image difference detection method based on multiple color space. Firstly, remove the brightness of the source images based on HIS color space coupling, and then do color regmentation based on the HSV color space, and realize image difference detection by through morphology operations at last. Experi- mental results show that this method is effective with image difference detection, it is able to eliminate the interference caused by brightness information, and it has a good detection with the character scaling, the object deformation small differences.
Keywords:image difference detection  HIS color space  HSV color space  morphology operations
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