使用opencv实现一些基础的边缘检测，sobel robert等。

在图像模板匹配问题中,基于像素灰度值的相关算法尽管已经十分普遍,并得到广泛的应用,但目前此类算法都还存在有时间复杂度高、对图像亮度与尺寸变化敏感等缺点.为了克服这些缺点,提出一种新的基于图像灰度值的编码表示方法.这种方法将图像分割为一定大小的方块(称为R-块),计算每个R-块图像的总灰度值,并根据它与相邻R-块灰度值的排序关系进行编码.然后通过各个R-块编码值的比较,实现图像与模板的匹配.新算法中各个R-块编码的计算十分简单 匹配过程只要对编码值进行相等比较,而且可以采用快速的比较算法.新算法对像素灰度的变化与噪声具有鲁棒性,其时间复杂度是O(M2log(N)).实验结果表明,新算法比现有的灰度相关算法的计算时间快了两个数量级.-err

并行磁共振成像经典算法sense，很不错，对于研究并行磁共振成像绝对有帮助-New theoretical and practical concepts are presented for considerably enhancing the performance ofmagnetic resonance imag-ing (MRI) by means of arrays of multiple receiver coils.

二维图像特效合集源码-2D source image effects Collection

彩色图像到灰度图像的转换函数ConvertToGray-Color image to grayscale image conversion function ConvertToGray

边缘检测图像应用高斯滤波器平滑图像，用双阈值算法检测和连接边缘。-Application of edge detection image smoothing Gaussian filter images, with dual-threshold algorithm for edge detection and connection.

进行相关匹配的程序，带有实验图片，能运行-Matching procedures associated with experimental images, will be able to run

本程序实现了WBS（跳过空白块编码），对与二值图像进行了有效的压缩 该算法具有自适应性 可以自动选择空白快的大小 -This procedure achieved a WBS (skip blank block coding), with binary image compression effectively with self-adaptability of the algorithm can automatically select a blank quick size

通过LSB算法实现基本的图像隐藏功能 使用经典图像显示-LSB algorithm through the basic functions of image hiding using the classic image display

边缘检测是图像处理和计算机视觉中最为经典和基础的问题之一，在物体识别、匹配、三维重建、图像检索等诸多领域有着重要应用-gfgfg

很好用的边缘检测程序:) ED-256 is an edge detection program with support for any bitmap. As of 2.1, the program allows both edge detection and prototype classification on the images.-good use of edge detection procedures :) ED-256 is an edge detection program with support for any bitmap. As of 2.1, the program allows both prototype edge detection and classification on the images.