VASP-Utilities-master

自适应阈值分割代码，比较完整。C++builder编写，可运行/()

此程序为摄影测量的一个小环节，主要功能是求解影像畸变差，可根据相机内参数求解，简单实用(This program is a small part of photogrammetry, the main function is to solve the differential image distortion can be solved according to the camera parameters, simple and practical)

说明：  图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助(Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people)

视频拼接，自己改正后可以实现自己需要的目的， 下载请测试(Video stitching, self correction, you can achieve the purpose of their own, download, please test)

一种基于小波的图像分块处理并且水印嵌入和提取，适合初学者学习使用(Based on wavelet image processing block and the watermark embedding and extraction, suitable for beginners learning to use)

这种方法可以用来实现对SAR图像的多普勒中心进行估计(This method can be used to realize on the SAR images to estimate the Doppler centroid)

机载线阵SAR三维成像，采用后向投影（BP）算法，成像效果比较理想。程序中有各切面的结果图，便于分析成像分辨率。(The airborne SAR three-dimensional imaging uses the back projection (BP) algorithm, and the imaging effect is satisfactory.)

遥感影像道路网提取，遥感影像道路网提取，遥感影像道路网提取，(Remote sensing images road network extraction, remote sensing images road network extraction, remote sensing images road network extraction,)

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.)

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 )