图像处理程序

一套完整的图像处理与识别的源码（全中文注释） 这是我们内部开发与使用的一套图像处理代码，里面包括了大部分图像处理与识别处理的的函数：像模板变换，图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等，等等，太多了。可以用于windows软件或嵌入式软件编程。内部用的，全中文注释，为了下载我才拿出来的。你们自己看着办吧。(a complete set of image processing and recognition of the source code (all Chinese Note) This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many. Can be used for windows software or embedded software programming. Internal use, and the whole Chinese translations, in order to download )

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

检测视频中的运动目标以及阴影，并消除阴影，基于opencv，将RGB颜色空间根据一定的转换关系转换到HSV空间，最后消除阴影， 可以在vc6.0和vs2008上正常运行(Shadow detection algorithm based on HSV color space)

KSVD字典训练程序，用于生成适应于图像内容的稀疏字典。稀疏描述必读程序。(KSVD dictionary training program used to generate a sparse dictionary adapted to image content. Sparse description of the Privacy Policy program.)

运动估计的几种方法，包括线性预测法、混合高斯法、特征值法和相邻帧差法等(Several motion estimation methods, including linear prediction method, mixed-Gaussian law, Eigenvalue and adjacent frames, such as poor law)

audroid studio books

CT重建图像时，先用BM3D滤波，然后运用经典的非局部平均去噪，效果很好。。(CT reconstruction image, the first with BM3D filter, and then use the classical non-local average denoising, very good. .)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)

用matlab编写的图像恢复程序，实现压缩后图像的恢复()

说明：  SAR合成孔径雷达的点目标仿真报告，含matlab代码(SAR synthetic aperture radar point target simulation report, including Matlab code)