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...

仿射变换法求深度信息，目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law

均值滤波对高斯噪声的效果 二维自适应维纳滤波对高斯噪声的滤除效果 对加入椒盐噪声的图像分别作均值、中值和维纳滤波 分别使用二维统计滤波对椒盐噪声和高斯噪声进行滤波 利用wrcoef2函数进行图像去噪-Mean filter on the effect of Gaussian noise two-dimensional Adaptive Wiener filtering of the Gaussian noise filtering effect the image to join Salt and pepper noise, respectively for the mean, median and Wiener filtering respectively, using two-dimensional statistical filtering of the Salt & Pepper noise and Gaussian noise filter the use of image denoising wrcoef2 function

基本图像处理的VC6源码,内有详细的代码说明和图像效果-Basic image processing VC6 source, which has a detailed code description and image

该文件包括四个图像的预处理程序，分别为图像的卷积运算、生成浮雕、粒化图像及扩散图像。对图像初学者有帮助。-including 4 of the document image preprocessing procedures for the image convolution operation, production of arms tablets of the proliferation of images and image. Image beginners to help.

网上下载的，呵呵，感觉还不错，希望对大家有用-downloaded, what impression was pretty good, we hope to useful

RGB与YUV格式的互相转换, 支持YUV420、YUV444、YUV4-RGB and YUV format conversion with each other to support the YUV420, YUV444, YUV422

轮廓提取,本设计通过边缘算法,达到高效低损失的计算效果,有效的消除轮廓边缘的噪音影响.-Contour extraction, through the edge of the design algorithm, to achieve high efficiency and low loss calculation results, effectively eliminate the impact of the noise contour edge.

基于小波变换和混沌映射的多功能图像水印算法，完成的图像数字水印加密-based on wavelet transform and the chaotic map multifunctional image watermarking algorithm to complete the digital watermark image encryption

批量的将DICOM文件转化为8位png文件-Quantities will be converted into DICOM files 8 png files

目标检测的-Target detection. . . . . . . . . . . . . . . . . . . . . . . . . .