put image processing procedures into MATLAB C Program

使用C语言编写的阈值处理程序，拥有专业的用户图形界面，方便进行处理，并附有进行处理的灰度图像-The use of C language procedures for the treatment threshold, with the major graphical user interface to facilitate the deal, have to deal with the gray image

介绍数字图像处理方面的知识 包括理论、设计和应用 仅供参考-Introduction of digital image processing knowledge, including theory, design and application for reference only

这个是应用与摄像机标定的程序的模拟仿真。对场景中N条相等的平行线进行摄像机内参标定，看提供的约束有几个。其中涉及到数据的归一化处理以及L－M最优化。-This is the application of camera calibration and simulation procedures. Article N of the scene the same parallel line camera calibration reference, see Constraint provided there are several. Which relates to data processing as well as the normalized L-M optimized.

一个比较好的图像处理源程序，可以对图像进行多种样式处理。-a relatively good source image processing, image processing for a variety of styles.

图像压缩，简单模仿JEPG图像压缩的方法，实现其中的一个步骤，量化-Image compression, image compression JEPG imitate simple way to realize one of the steps to quantify the

这个是基于MATLAB的盲信号处理中的一个重要使用方法。-This is a MATLAB-based blind signal processing is an important use.

仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。-Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.

提供强大的图像处理功能，完全源代码公开， 包括旋转，放大，缩小，自动校正，选择范围，裁剪，自动去除黑边，镜像等等功能。提供技术支持，最适合应用于扫描后的图像处理 开发本控件原本就是应用于扫描后的图像处，方便使用-provide a powerful image processing functions, complete source code is open, including rotating, zooming, narrow, automatic calibration choice, cutting, automatic black border removal, image and so on. Provide technical support, Scanning the most suitable for the development of the Image Processing Control was originally applied to the scanned images, ease of use

几种不同的数据预处理方法和数据读取数据的方式-Several different data preprocessing methods and data to read data

计算图像的均方差 绝对误差 以及自熵或自信息量的函数 -Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self