该程序主要介绍的是有关图像处理的大部分程序，包括图像的显示、二值化、图像的锐化和平滑等等程序。...

使用Hough变换在灰度图像中寻找圆，来检测图像的结果-The use of Hough transform in gray-scale images to find a round, to detect the results of image

基于OpenCV和C++的K-means聚类源代码-Based on OpenCV and C++, K-means clustering source code

利用小波分解与重构,实现图像压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.

计算机图形图像学基础算法实验软件包,包含大多数基本图象处理算法程序。-computer graphics and video algorithm based on experimental learning packages, including most of the basic image processing algorithm procedures.

针对目前图像匹配算法中存在的匹配精度不高和匹配速度慢的缺点, 对基于灰度相关的 2 类匹配算法――最小误差法和相关系数法进行了改进-Improvemen t of image ma tch ing a lgor ithm ba sed on gray correla t ion

包括了常用的图象处理操作,包括平滑,锐化,边缘提取等等!值得一看!-including the common image processing operations, including smoothing, sharpening, edge extraction and so on! An eye-catcher!

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

图像处理 图像检索系统 基于内容的-Image Processing Image Retrieval System Content-based

该类封装好了图像处理的功能，可以直接使用该类读取和显示DIB位图。是图像处理前期工作中非常重要的部分。-Such a good package of image processing functions, such direct access to read and display bitmap DIB. Image processing the preliminary work is a very important part.

直方图规定化 规定灰度为[zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.3,zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.1] 直方图均衡化，四邻域平均法，阈值平均法 加权平均法- Gray histogram specification provides for the [zeros (1,49), 0.1, zeros (1,49), 0.2, zeros (1,49), 0.3, zeros (1,49), 0.1, zeros (1, 49), 0.2, zeros (1,49), 0.1] histogram equalization, neighbors and domain average method, the threshold average method weighted average method