Visual C++MATLAB图像处理与识别实用案例精选之离形余弦变换的程序例子...

用VTK与VC++混合编程实现对山地形等值线的绘制，内含人脑数据-with VTK and VC mixed programming the mountain terrain contour mapping, data containing the human brain

简单图像算法。支持读取多种图片格式，支持灰度图计算，多种二值化算法（基于熵的自动阀值，自动双阀值二值化），支持图像多种卷积计算（高斯滤波，轮廓提取）-simple algorithm. Photo support multiple read format, the gray level support, a variety of binary algorithm (based on the entropy of the automatic threshold. automatic dual threshold value of two) to support a variety of image deconvolution calculation (Gaussian filtering, contour extraction)

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八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling

用块匹配法进行运动估计的matlab实现方法，返回运动矩阵-block matching method used for motion estimation method of Matlab, the return movement Matrix

C语言求任意多边形面积-C language for arbitrary polygon area

Anroid教程 包括Android程序开发初级教程和一些学习笔记 对新手获取有点帮助-Android Programming Tutorial Anroid including the primary learning tutorial, and some notes for a little help to the novice

叠加椒盐噪声后进行二阶巴特沃斯(Butterworth)低通滤波,最后显示处理结果. 直接解压后将图片和程序放在同一个文件夹里.-after second-order Butterworth (Butterworth) low-pass filtering, Final results showed. Photo will be directly extracted and procedures on the same document folder.

vc编写数字图形处理中阈值分割图像程序，阈值分割在图像处理中具有重要作用，本代码具有一定得意义-vc digital graphics processing in the preparation of Threshold image segmentation procedure, threshold segmentation in image processing plays an important role, the code may have some significance

OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。-Otsu algorithm can be said to be adaptive to calculate the single threshold (for converting images to gray scale image 2) simple Efficient methods. Algorithm for the importation of gray image histogram analysis of histogram is divided into two parts. makes two of the distance between the largest. Demarcation point out the threshold.