能实现多种边缘检测方法，包括Prewitt、Roberts、Sobel和高斯拉普拉斯...

特征提取是变化检测中一个关键问题，角点的检测显得格外重要，vc＋＋角点检测源代码-feature extraction change detection is a key issue, corner detection is particularly important, Kok vc++ source code detection

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,

实现两幅图像简单的拼接，对图像拼接还好，实时拼接效果一般。-Two images to achieve a simple stitching, image stitching Fortunately, real-time splicing results in general.

在VC++ 6.0中实现阈值处理，线性变换，傅里叶变换，去噪处理。-In VC++ 6.0 implementation of the threshold treatment, linear transform, Fourier transform, denoising treatment.

MFC图形填充图象编程入门程序的VC6.0++源码-MFC Programming graphics image filling entry procedures VC6.0++ Source

非常新的论文集，对于初涉图像处理的同学们很有借鉴的价值！-Very new collection of essays, for image processing started his classmates could learn the value of!

1.达芬奇平台软件结构 2.达芬奇图像处理平台算法标准的实现-1. 2 Da Vinci platform software architecture. Leonardo da Vinci image processing algorithm for the standard implementation platform

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.

《OpenCV基础教程》于仕琪主编，书中所有源代码下载，基于OpenCV的图像处理技术-" OpenCV-based tutorial," in Shi Qi editor of the book to download all the source code, based on OpenCV image processing technology

移动图像分割方法研究 文中针对移动图像的图像分割,采用时间域信息捕捉移动物体, 然后利用空间域信息进行细致的分割,提出了一种新颖又实用的移动图像分割方法 -Mobile text, image segmentation method for mobile imaging in the image segmentation, the use of time domain information to capture moving objects, then the use of detailed spatial information of the partition, a novel and practical method of image segmentation mobile