针对纹理分割的程序分类的重要依据是卡尔…

是图像处理的程序，但是没有完善后面的还请各位大虾添加-Is the image processing procedures, but did not improve the back also please add shrimp

一个交互式程序，利用Hough变换检测圆。允许人工选择圆半径。-An interactive process, the use of Hough transform circle detection. Permit artificial selection radius.

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.

ps电子书，ps的基本用法和色谱，-ps e-books, ps the basic usage and chromatography,

在matlab下实现的有关穷块匹配的代码。-In matlab of the poor under the block-matching code.

是采用伪随机编码结构光照明主动视觉技术,用编码结构光照明被测场景，实现动态三维场景的重建-Is a pseudo-random coding structure using active vision lighting techniques, using coded structured light illumination measured scene, dynamic three-dimensional scene reconstruction

YUV颜色空间转RGB颜色空间,verilog代码实现-YUV to RGB,verilog

快跳频的实现方法，实现语句很简单，需要提前实现BIT到SYMBOLS-The realization of fast frequency-hopping method, the realization of statement is very simple, the need to advance the realization of BIT to the SYMBOLS

opencv的说明文档，使用opencv的经典的入门级文档-opencv documentation, use opencv classic entry-level document

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.