三种传统背景减除法

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

数学形态学操作 数学形态学的基本运算 结构元素矩阵 膨胀运算 腐蚀运算 膨胀与腐蚀的对偶关系 开运算和闭运算 击中与击不中 形态学的基本应用 边缘提取 二值图像面积提取 二值图像的欧拉数 查找表操作 灰度形态学 (Mathematical morphology operations basic operations of mathematical morphology dilation operator structure element matrix erosion operator expansion and corrosion of the relationship between dual opening operation and closing operation with the strike did not hit in the basic application of morphological edge detection in binary image extracted area of binary image Euler number look-up table operation of gray-scale morphology)

说明：  超分辨率图像重建。具有非常好的效果，程序效率较高，有完整的注释和说明文档。(super-resolution image reconstruction. Very good results, the higher the efficiency, integrity of the Notes and documentation.)

Read jpeg rgb color structure

本工程实现了二维空间点的关于任意点的对称与关于任意直线的对称。(This project realizes the symmetry of arbitrary point and the symmetry of arbitrary line in two-dimensional space.)

精通MATLAB数字图像处理与识别 chapter11 代码(Proficient in MATLAB digital image processing and recognition chapter11 code)

主要包括3种去噪方法，Bayesian Least Squares，BM3d 和Non-local means (this attachment contains three classical denoising methods Bayesian Least Squares，BM3d and Non-local means )

说明：  破解halcon17.12的dll x86,x64文件(Cracking DLL x86, x64 files of Halcon 17.12)

说明：  利用matlab所编程的许多例子，帮组大家学习matlab(Matlab programming by using many examples to help everyone learn matlab Group)

说明：  这个文件中包含了三种图像相似度的计算方法，分别是灰度分布计算方法、颜色分布直方图计算方法、还有结构相似度SSIM计算方法。(This file contains three image similarity calculation methods, namely, gray distribution calculation method, color distribution histogram calculation method, and structure similarity SSIM calculation method.)