实现了采集、图像参数中值滤波、迭代THR…

专门为MIKE 21定制的提取dxf文件数据点的程序.能够提取AutoCAD dxf文件中的:1.点高程2.Text中的数据3.线（包括Line,Polyline）中的高程数据，三种模式： 1)直接提取直线端点高程2)在直线上进行数据点的加密，然后输出3)输出为模型的水陆边界 -dedicated to the extraction of 21 customized data points dxf document procedures. To extract AutoCAD14 D dxf document : 1. 2.Text point elevation data of three. (including Line, Polyline), the elevation data, three models : 1) direct extraction of straight endpoint Elevation 2) on the line for the encryption of data points, then output 3) output model of the land and sea borders

本程序通过VC＋＋实现了BMP图像的梯度锐化-This procedure, through VC to achieve a gradient BMP image sharpening

matlab6.5图形图像处理教材里面的所有源程序，每一章均为一个文件夹。-Graphics Image Processing matlab6.5 inside all the source material, each chapter are a folder.

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。-useful,good,from a classical book

将几张bmp图片编码为avi视频文件，生成avi的类代码在writeavi.cpp文件中-Bmp picture to a few avi video files encoded to generate the class code avi files writeavi.cpp

基于运动的视频前景分割实现方法，matlab代码-Prospects for the video based on motion segmentation method, matlab code

人脸检测系统，很好用，欢迎大家下载，无错误！-Face detection system, useful, welcome to download, no error!

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.

Snakes MatLab code, it can be used according to the statment inside!

本文提出了一种基于区域分割的分段线性变换方法，结合灰度直方图提供的有关灰度分布的统计信息 和图像提供的空间位置信息，利用各灰度区间把图像分割成不同的区域，检验要增强的目标是否落在某 灰度区间对应的图像区域内，从而加快了调整灰度区间的过程，提高了算法的执行效率。-dddddddddddddddddddddddddddddd