YUV到RGB，Verilog

一个目标检测识别的matlab程序，用于初学者使用matlab编程，用的比校全面-Identification of a target detection matlab program for beginners to use matlab to program than the school used a comprehensive

马尔科夫vc源代码，偶找了很久才发现的，应用在图像处理中，强烈推荐-Markov vc source code, even for a long time only to find that the application of the image processing and strongly recommended

利用vc编制的压缩bmp图形文件的程序.可以打开普通bmp文件并存储为压缩形式-vc prepared by the use of compressed graphics bmp file. General bmp can open the file and storage of compressed form

文件夹里附有contourlet分解的程序代码以及lena测试图片。相信一定能给初学contourlet的朋友不少指引-This code tells you how to do contourlet decomposition.

本光盘共包括三个工程，分别是用于实现数字图像基本处理算法的DimageProcess工程， 用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。 关于程序的运行， DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法， 需要强调一点，其只对256色格式的图片进行处理。 PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp， 而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。 FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测 操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理 模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。 另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-This CD-ROM includes a total of three projects, namely, for the realization of the basic digital image processing algorithms DimageProcess project Used to achieve image fusion PixelFusion engineering and construction for face recognition FaceDetection. With regard to program operation, DImageProcess works just load Bmp file format can be achieved through the menu, a variety of processing algorithms, Need to emphasize that its only 256-color format for image processing. PixelFusion engineering program runs,

高斯滤波先对图像做卷积运算，进行线性滤波，支持替代方式操作。-Gaussian filter to the image so convolution operation, linear filtering, support for alternative means of operation.

hough变换中，进行了hough变换，峰值检测，找非零点，找到相关像素后，还要执行这个操作，才能实现功能-hough transform for the hough transform, peak detection, to find non-zero, after finding the relevant pixel, but also the implementation of this operation, to achieve functional

图像修复软件，自动去除数字图像上不需要的物体和人，具体使用方法可以参照说明-Image restoration software, automatic removal of digital images on the objects and people do not have specific reference to the use of methods that can

2D洒水效果仿真，采用粒子系统，拉格朗日算法，产生粒子，计算粒子的新位置，消除粒子-Sprinkler effect 2D simulation, the use of particle systems, Lagrangian algorithm, resulting in particles, calculating the new particle position, the elimination of particles

频域高通滤波以及所需图像，包括巴特沃斯、指数、逆高斯滤波等-Frequency-domain high-pass filtering and the required images, including Butterworth, exponential, inverse Gaussian filtering,