fourier

c#写的图像处理程序框架，包括打开图片、保存、关闭等功能。图像处理包括图像增强里用到的灰度化、亮度增强、线性非线性平滑、一阶二阶锐化等。(c# write image-processing program framework, including open images, save, close and other functions. Image processing including image enhancement is used inside the gray-oriented, brightness increased, the linear non-linear smoothing, sharpening and so on a first-order second-order.)

这是一个应用VC++编写的基于摄像头读取人脸的人脸识别和人脸检测软件，其中引用了MATLAB的系统函数，是一个非常不错的人脸识别软件，这个系统在我校论文答辩审核中获得了优秀的成绩。希望对大家有用(This is an application-based VC prepared to read camera Face to Face Recognition and face detection software. cited in the MATLAB system function, is a very good face recognition software. The system in my school examination papers reply obtained outstanding achievements. We hope to useful)

该程序是数字图像处理中一个常用的算法，研究在VC6.0下调试通过，并且达到了非常好的效果，希望对大家能有点帮助。(The program is a digital image processing algorithms commonly used to study under VC6.0 debugger through and achieved very good results, in the hope that we can to some extent.)

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

打开bmp位图文件 彩色转灰阶 直方图均衡 直方图规定 灰阶线性化(Open the bmp grayscale bitmap image binarization functions connected domain extraction features)

实现快速的 TV去噪，里面有相关的几篇论文 有全面的源代码(de-noising by TV)

各种图像处理技术举例。其中原代码可以直接使用，非常不错。(various image processing technology, for example. The original code which can be used directly, very good.)

这是一个从两个以知的参考视点的彩色图和深度图来合成一个虚拟视点的彩色图和深度图的程序。(This is one of the two known reference to the viewpoint of the color and depth charts to synthesize a virtual viewpoint of color and depth charts of the program.)

针对大尺度图像配准和不同传感器图像配准问题, 介绍了一种基于 SIFT 的图像配准方 法。(For large-scale image registration and image registration problem from different sensors, introduces a SIFT-based image registration method.)