数字图像处理的基本程序 vc++编写 图像细化 有实例图片

利用双缓存的技术实现对图像的显示，克服了图像显示时容易闪烁的问题-cache dual use technology to achieve the right image, overcome the image display easily scintillation problems

本目录存放的是第2章文档的程序源代码，子目录说明： wvltlib 中存放的一些基本的小波基定义和相关库函数； wvltwrefine 中存放的是小波基细化的程序代码； wvltwxfrm 中存放的是一维小波变换的数学实现-Catalog store is the first of the two chapters of the document source code, subdirectories : wvlt lib stored in the basic definition of small Porgy and related library functions; wvlt wrefine stored in the small Porgy sophisticated code; wvlt wxfrm is stored in the wavelet transform one-dimensional mathematical achievement

比较五种窗函数特性matlab程序：得到矩形窗、海明窗、三角窗、汉宁窗和布莱克曼窗图形。从仿真结果可知：矩形窗设计的过渡带最窄，但阻带最小衰减也最差。布莱克曼窗设计的阻带最小衰减最好，但过渡带最宽。-Comparison of characteristics of five kinds of window function matlab program: to be a rectangular window, Hamming window, triangular window, Hanning window and Blackman window graphics. From the simulation results we can see: the rectangular window designed for narrow transition zone, but the minimum stop-band attenuation is also the worst. Blackman window design of the stop-band minimum attenuation is best, but the transitional zone widest.

VC环境下 计算共生矩阵及其相关的特征值-VC co-occurrence matrix computing environment and its associated eigenvalue

圆检测，hough变换是检测直线＆圆的很高的工具，这里是用hough变换检测圆的程序。-Hough transform to detect linear & round of high tool used here is a round Hough Transform detection procedures.-Circle detection, hough transform to detect straight line

彩色图像分类程序，包括R,G,B分类，HSV分类，完全自己开发，带GUI-color image classification procedures, including R, G, B classification, HSV classification, completely on my own development, with GUI

sift_image matching

本程序实现了K均值(HCM)算法，ISODATA算法，模糊C均值(FCM)，模糊阈值法等对遥感影像的分割。-This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.

主要用于图像处理过程中,对图像的细化和边缘检测.-Mainly used in image processing for image edge detection and thinning

基于MRI的脑组织分割。首先从给定的MRI图像中得到脑区域，而后计算脑容积；再得到脑白质灰质区域，并计算百分比。-Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present.