visual_tracking_code

本代码主要关于摄影测量中的单向空间后方交会(resection of photogrammetry)

matlab编写的交互式image matting程序，包括：Poisson，Hillman，Ruzon等方法和源图像(matlab interactive image matting procedures, including: Poisson, Hillman, Ruzon methods and sources image)

关于大视场的视觉标定方法，相对于目前很多近距离的标定，很有借鉴作用(tisi is a paper about fast calibration for binocular vision measuring system,and it s with a large field)

matlab导出iges格式的程序文件，可以matlab读取和导出(The name of the resource property which is the same as the topic name)

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.)

说明：  非常经典的基于特征的影像匹配，亲测好用，推荐下载试试，基础但好用(Feature-based image matching)

说明：  摄影测量相对定向程序，单独像对相对定向，所得精度较高(Photogrammetry relative orientation procedures, as a separate relative orientation, derived from high precision)

说明：  代码包含多种图像去雾质量评价标准，PSNR，彩色图像信息熵，WPSNR等，MATLAB可直接使用(Code contains a variety of image defogging quality evaluation criteria, PSNR, color image information entropy, WPSNR, etc., which can be directly used by MATLAB.)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

用小波的模极大值法有效检测噪声图像的边缘(Detecting the edge of noisy image by modulus maximum method of wavelet transform)