图像采集，采样、感知、显示和量化模式海……

一个基于内容的图像检索工具，谢谢使用！ 希望大家能够交流。-A content-based image retrieval tool, thanks to use! Hope that we can exchange.

图像处理源程序代码，关于图像的细化处理程序。-Image processing source code, on the detailed image processing procedures.

smartdeinterlace图形图像处理去交织

我常用的图象处理工具。就一个.h文件所以用起来很简明。-frequently used image-processing tools. On the one. H Therefore, the use of paper up quite succinctly.

一个基于C++编写的程序，功能是进行图形图像的纹理分析-Based on the C++ Preparation procedure, function is the graphical image texture analysis

这是类似photoshop的灰度图算法。经计算很接近photoshop。可以用于很多图像处理算法。-This is similar to the grayscale algorithm photoshop. Calculated is very close to photoshop. Can be used in many image processing algorithms.

labelmetool,用于手工图像分割，可以同时记录很多目标信息。通过lhi还可以下载很多图像库。-labelmetool, for manual image segmentation, can be recorded at the same time a lot of target information. Through lhi can also download a lot of image library.

主要在对图片加入不同噪声时进行图像复原程序。-Mainly in the picture by adding different noise when the image recovery process.

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,

matlab编写的一段提取DCT域共生矩阵的源码-matlab extract prepared DCT section of the source domain co-occurrence matrix