photoshop专业配色手册

将YUV文件中每帧的数据转换成OpenCV中的Ipl-ertdfvfh wfsddf.

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.

来自于VC++数字图像处理典型算法及其实现这本书，对于初学者有很大的帮助。-very usrful,from a classical book

图像处理，学习matlab的源代码，转自国外-image processing, study the source code of Matlab, decanted from abroad

图像的预处理程序，包括图像的剪切、锐化和滤波除噪-Image pre-processing procedures, including images of the cut, sharpening and Noise Filtering

一个用VC++中的MFC实现的图像处理基础的源程序，各种基础均有-One with VC++ implementation of the MFC-based image processing source code, a variety of both basic

全书程序用VC6.0编写，程序有的是一个主函数写成，有的主函数调用若干子程序，很容易在turebo C,Borland C++ 及Unix机上运行，包含图像处理的一般操作，适合广大图像处理学者编程使用-Procedures for the preparation of the book with VC6.0, procedures written in either a main function, and some main function calls a number of subroutines, it is easy in turebo C, Borland C++ And running on Unix machines, including the general image processing operations, for the vast numbers of Image Processing Programming scholars use

基础线性分类器的检测用于分离超平面是单向垂直的。- TESTING THRESHOLD CLASSIFIER

采用了sobel、Log算子完成对图像进行边缘检测的功能-Using sobel, Log Operator to complete the image edge detection function

视觉神经科学中一个重要的研究方法就是建立初级视觉系统功能与自然图像的统计特性之间的关系，通过对自然图像的有效编码（稀疏性）可以模拟初级视觉皮层的一些基本属性，包括简单、复杂细胞的感受野，细胞的空间组织结构等。本课题旨在研究如何建立一个高阶神经网络结构，通过学习过程稀疏的表示复杂细胞对自然图像块的响应，进而实现对图像轮廓的编码以及模型自上而下的推理。-use ica and gabor filter to simulate the visula system of human