图像融合技术及其应用研究

【作者】 陈煜；

【导师】 田裕鹏；

【作者基本信息】 南京航空航天大学 ， 测试计量技术及仪器， 2004， 硕士

【摘要】 图像融合是一项综合同一场景多源图像信息的技术。由于可以有效利用不同信道的图像信息，近年来，图像融合得到了高度重视并在许多领域取得了成功的应用。 本文在介绍图像融合基本理论的基础上，简述了图像融合的方法及技术发展，针对像素级的图像融合研究了图像配准的方法，提出了基于Sobel快速边缘检测的特征配准方法。采用了几种图像融合算法如对比度调制融合、伪彩色融合和小波变换融合法，实现了对红外和可见光图像的融合。文中比较了图像融合的结果，并将图像融合技术应用于材料的无损检测方面。最后，实现了一套适用于材料无损检测的图像融合及处理系统，整个系统用VC++6.0开发。更多还原

【Abstract】 Image fusion is a technique to combine information from multiple images of the same scene .In recent years, image fusion has been highly attached importance and has achieved successful applications in many fields because of its effective using of different channel image information.On the base of introducing basic theories about image fusion, the article narrates the methods and technical development of image fusion. In allusion to pixel-level fusion, the algorithm of image registration is studied and the method of image characteristic registration based on Sobel quick edge-detection is presented. Several image fusion algorithms, such as contrast modulation fusion, false color fusion and wavelet transform fusion have been adopted to realize the fusion of visual and infrared images. The fusion results are compared and the fusion technique is applied to Non-destructive Testing. In the end, a set of image processing and fusion system applied to Non-destructive Testing is realized. The system is developed with VC++6.0.更多还原