Canny边缘检测算法，Vc6.0（sp6）编译运行通过

图形图像处理方面的VC原码，核心部分用C写成-graphics processing VC original code, the core written in C

将图片从BMP格式转换为JPG格式-Pictures from the BMP format is converted to JPG format

早期，matlab主要是进行科学计算等应用，而目前可以有了更广泛的用途，如图像处理，上传文件就对matlab中的图像处理命令进行了详细介绍。-Early, matlab is mainly for scientific computing applications, can now have a broader range of uses, such as image processing, upload files on the right of the matlab image processing commands are described in detail.

很不错的lda源码，与大家分享-Lda very good source to share with you

计算有效区域内的OTSU值: 通过标记图像,求取原图像中被标记的区域的OTSU阈值-Calculation of the effective region OTSU value: By marking images, to strike the original image of the region is marked OTSU threshold

两种图像频域过滤 butterworth内核和winner内核 内有例程 job4为主函数-two images frequency domain filtering butterworth winner kernel and the kernel routines have jo b4 main function

这是开源的全景图拼接软件Hugin的源代码，从svn下下来的，revision是3478。-This is the open source Hugin panorama stitching software source code from svn down under, revision is 3478.

LK稀疏光流Demo 可以在场景中自动找出关键点并自动跟踪，也可以使用鼠标在指定位置添加关键点，此程序是很好的学习光流的示例。本程序基于OpenCV。-LK Sparse Optical Flow Demo automatically in the scene to identify the key points and automatic tracking, you can also use the mouse to add the key points in the specified location, this program is a good example of the optical flow of learning. The program is based on OpenCV.

相机中都需要进行伽马校正，本实验中通过程序caculate_curve.m读入图片0中的灰度值，通过计算得到伽马变换的伽马系数，然后利用伽马系数进行反变换。-Both the need for gamma camera calibration, the experimental procedure caculate_curve.m read into the picture through the gray value of 0, obtained by calculating the gamma-gamma transform coefficients, then use the gamma coefficient inverse transform.

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. -This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B