这是有关图像处理的文件，是用vc 编写的 ，可以供大家参考

VB6.0下用Access数据库对图像进行保存、显示的源程序代码！-VB6.0 using Access database to save the image to show the source code!

图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature.

里边包含OpenCV中文参考手册 OpenCV是Intel® 开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。 -Chinese inside OpenCV reference manual contains the OpenCV is Intel ? Open Source Computer Vision Library. It consists of a series of C function and a small amount of C++ Category consists realize the image processing and computer vision aspects of many common algorithms.

图像超分辨是目前国内外研究的热点，该算法主要用于光学图像的超分辨-Image super-resolution is the study of hot spots at home and abroad that the algorithm is mainly used in optical image of the super-resolution

强大，真强，数学建模中系统标定的一大堆M源码，好用-Strong, really strong, and mathematical modeling in the system calibration of a lot of M-source, easy to use

一维二维三维信号MATLAB中值去噪滤波源代码1D, 2D or 3D median filtering-One-dimensional two-dimensional three-dimensional signal denoising filter in MATLAB source code for 1D, 2D or 3D median filtering

包含一些常见的遥感图象处理的算法,有中值滤波,拉普拉斯算法等-Contains a number of common remote sensing image processing algorithms, have median filter, Laplacian algorithm

c#在图像处理的方面的源程序：包括图像的增强，滤波等操作～界面比较人性化！-c# in the image processing aspects of the source: including image enhancement, filtering, comparison operator interface humanized ~!

opencv的文档-opencv documentation

一个levelSet工具箱,包含基本的分割方法及文档说明 -LevelSet a toolbox that contains the basic segmentation methods and documentation