图像去噪（matlab）

通过MATLAB平台使用surf算法实现图像拼接(Through the MATLAB platform using surf algorithm to achieve image stitching)

基于Contourlet变换的多波段SAR图像融合 郑永安 宋建社 周文明 张杰 计算机工程 2007-09-20 期刊(multiband SAR image fusion based on Contourlet transform Zheng Yongan Song Jianshe Zhou Wenming Zhang jie computer engineering the 2007-09-20 journals)

说明：  提取图像中的模式噪声，是先使用滤波器后再进行提取的(To extract the pattern noise in an image, a filter is used first and then the noise is extracted)

说明：  OpenGL的示例文件。上课时介绍用的示例文件，内含exe文件可直接运行。(OpenGL's sample file. Sample files for introduction in class, including exe files, can be run directly.)

数学形态学应用二值图像边界细化，以及二值图像骨骼化( Application of mathematical morphology refined binary image border, as well as binary image skeletonization )

说明：  Matlab实现简单图形处理，包括灰度、亮度、对比度变化等功能(Implement Simple Graphics Processing with matlab. Equipped with the function of gray level,brighteness and contrast ratio transfotmation.)

说明：  包括如何将几百个*.txt的文件读入程序，并通过快速傅立叶变换进行数据处理画出图像。(including how to hundreds*. txt file into the process, and through the fast Fourier transform data processing paint images.)

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.)

基于Hessian矩阵增强提取二维或三维医学图像中的血管(Vessel enhancement and extraction from 2D or 3D medical images)

在网上看到的一个在线SVR(支持向量机回归)的C++代码,希望对大家有帮助()