histogram-equalization

李纯明博士的无需初始化模型的源代码，作者亲自写的。还有测试图象，相信对大家肯定有好处。(Economics Dr. initialization model without the source code, written by the author himself. There test image, I think we will benefit.)

说明：  内含M文件 利用对数比实现，两幅多时空SAR图像变化差异图 (Logarithm figure than the implementation differences )

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

实现图像的几何变换，包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)

使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子(Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example)

包括图像输入（打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声）、图像处理（几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换）、图像输出（另存图像、打印输出、复制到剪贴板）(Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, graying, adding random noise, Salt and pepper noise, to noise), image processing (geometric transformation, gray inversion, histogram equalization oriented, histogram statistics, image restoration, edge extraction, pseudo-color, binary, image transform), image output (save the image, print out, copy to clipboard))

基于象素的图像配准程序,要配准的两幅图像,通过多对对控制点来配对(Pixel-based image registration procedures are based on the registration of two images, through a multi-right right control point to the matching)

这是一个很全的云模型图像处理，功能全，已运行(This is a good use of the cloud model program, function, good effect, has been in operation)

说明：  解决一些图像处理的小问题，具体的划分和问题，文件里有提到(Solve some small problems in image processing)

可以动态调节运行环境的参数，重要参数的提取，利用自然梯度算法。( Can dynamically adjust the parameters of the operating environment, Extract important parameters, Use of natural gradient algorithm.)