camera_auto_focus_system_base_on_ImageProcessing 基于图像处理的相机自动调焦系统...

基于阀值的阈值分割：由灰度直方图可以看出谷值即是阀值，然后分割出来目标图像。-Based on the threshold of the threshold segmentation: histogram can be seen from the valley that is, threshold, and then divided by the target image.

该程序采用自适应模糊匹配算法完成贝尔模板图像到全彩图像的插值运算-the procedure adaptive fuzzy matching algorithm Bell template image to the entire color pictures as the interpolation operation

This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT. * Various helpers functions

本程序可将全彩RGB图像转换为贝尔模板,用于原始数据处理.-this procedure can be full color RGB image is converted to Bell template for the original data processing.

通过梯度微量流SNAKE方法对图像进行分割-SNAKE flow through the micro-gradient method of image segmentation

将256色的彩色图像转换灰度图像，包含测试图像。-Will be 256-color color image is converted gray image, including the test images.

数字图像处理 何东健 的ppt教程 一共三部分，分批上传 -Image processing ppt, designed by Dongjian He

This program is about tracking moving or static objects with a conventional web cam at real-time speed.

PCA-SIFT实现图像的不变性特征提取,利用主元分析提取SIFT特征,提高了效率.-PCA-SIFT invariant image feature extraction, using principal component analysis extracted SIFT features, improved efficiency.

dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order.