这是边缘检测的结果已经调试源代码，可以实现…

基于文本的图像处理显示框架, 使用于学习图像处理框架.-Text-based image processing show that the framework used to study image processing framework.

很好关于的hough变换的代码,适合初学者了解其原理,需要的可以看看.-Very good on the hough transform code, suitable for beginners to understand its principles, in need can have a look at.

对图像进行平滑处理,是一个很好的实用的程序,大家试一下就知道了.-Image smoothing treatment is a good practical procedures, U.S. try to know.

有关多目标跟踪算法及其实现的博士论文一篇，供参考-Related to multi-target tracking algorithm and its realization of a doctoral thesis, for reference

基于Matlab的类photoshop的程序代码，可以直接对图像进行编辑。-Photoshop classes Matlab-based code, you can directly edit the image.

图像处理源代码，一种快速的边缘检测算法。-Image processing source code, a fast edge detection algorithm.

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

利用MATLAB实现的图像的特征匹配，对于图像拼接和全景图像生成至关重要-MATLAB implementation of the image using the feature matching, image stitching for panoramic images and to generate essential

该代码完成颜色空间的转换,由RGB颜色空间向HSL颜色空间的转换.-The code completion color space conversion from RGB color space to the HSL color space conversion.

图像处理 图像rgb空间转换为His空间-Image Processing Image rgb space conversion for His Space