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。...

huffman算法 包含huffman算法的编码及解码源程序以及LZW算法的编解码-Huffman algorithm contains Huffman coding algorithm and the decoder and the LZW algorithm source code The codecs

基于visual c++ 2005实现 ColorPicker是一个基于对话框的应用程序，它具有以下功能： 1. 色彩编辑功能 用户可以通过可以调整R、G、B的值来编辑颜色，亦可通过调整H、S、V的值来选取颜色。颜色编辑的结果会马上反馈到颜色面板和颜色预览框中。 2.RGB颜色空间和HSV颜色空间的转换 当改变RGB值，会得到相应的HSV值，并进行显示，反之亦然。 3.取色功能 取色功能包含“面板取色”和“屏幕取色”。面板取色就是用户可以在颜色面板中单击鼠标左键，选取目标点所表示的某种颜色。屏幕取色则是允许用户获取整个屏幕上的任意一点的颜色值。用户可以将鼠标移动到需要获取颜色的地方，然后按a键或A键即可以获取该点颜色值。-err

现在在所有图像去噪滤波中最较理想的去噪算法――Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,

能够自动实现图像融合的工具，而且包含很多方法供大家选择-Image fusion can automatically realize the tools, but also contains many ways for everyone to choose

图象灰度变换的源代码 VC6.0下调试 图象灰度变换的源代码 VC6.0下调试-Image gray-scale transformation of the source code under VC6.0 debugger image gray-scale transformation of the source code under VC6.0 debugger

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

图形生成与汉字显示 图形生成与汉字显示 -GRAPH GENERIZE AND WORD SHOW

Visual C++MATLAB图像处理与识别实用案例精选之直方图均衡算法的源程序，含标准测试图片-Visual C MATLAB image processing and recognition practical case Featured"s histogram equalization algorithm source procedures, with the standard test pictures

将256色的彩色图像转换灰度图像，包含测试图像。-Will be 256-color color image is converted gray image, including the test images.

有从摄像头提取图象,并对其进行相应的处理,包括运动物体的检测,彩色边缘提取!!希望对大家有点用-are extracted from the camera image, and its corresponding treatment, including the detection of moving objects, Color Edge Extraction! ! We hope to use a bit! !