边缘检测Sobel算子实现数字图像处理中边缘检测

提升法97经典程序此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 为了保证正交，所有边界处理，全部采用循环处理-upgrade classic procedures of this process is to achieve matrix, So images of horizontal component and the vertical component is estimated to be exchanged orthogonal position to ensure that all borders, the use of cycles

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用3维模板(模板是由黑白相间的格子组成，格子大小30cm×30cm，模板必须是三维，否则矩阵奇异)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 3-dimensional template (template is composed of black-and-white lattice, lattice size of 30cm ?30cm, the template must be three-dimensional, or matrix singular) calibration procedures, better interactivity, each Corner automatic access through mouse clicks.

利用模糊C均值聚类法实现彩色图像分割，Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0

一些基本的图像处理源程序，以及用于图像处理的基本matlab操作程序-some basic image processing program, and for the basic image processing procedures Matlab

数字图像处理 ppt 教程 何东健 共三部分，这是第三部分-Digital image processing ppt tutorial Dong-Jian divided into three parts, this is the third part of the

图像的正弦噪声滤波。 很不错的一个程序哦！-image sinusoidal noise filtering. Quite a procedure!

uniform noise 噪音 去除源码，利用3阶均值完成

基于IBR的图像拼接算法,利用傅里叶变换求相关，可利用多幅图像拼接得到的全景图。-image mosaic based on image based rendering

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.

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.