基于MATALAB 数字滤波器设计用巴特沃斯滤波器进行图像滤波

VC编写数字图像处理中对指定区域进行面积、周长等几何参量的自动测量-VC in the preparation of digital image processing of the designated area for area, perimeter and other geometric parameters of the automatic measurement

OpenCV中文资料 OpenCV是Intel开源计算机视觉库。 它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。-OpenCV Chinese information OpenCV is Intel open source computer vision library. It consists of a series of C function and a small amount of C++ Category consists realize the image processing and computer vision aspects of many common algorithms.

计算图像调制传递函数（MTF）。提高图像清晰度。可以处理普通图像以及卫星照片-Calculation of image modulation transfer function (MTF). Improve image clarity. Can deal with ordinary images and satellite photos

程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 -err

DWT的彩色水印嵌入算法，而且嵌入的水印附图像是彩色的。-DWT color watermark embedding algorithm, and the embedded watermark such as color drawings.

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)

图像抖动处理源代码，试运行过，效果不错！-Image Dithering source code, trial operation than good results!

这用在vc++环境下进行图像处理的源代码 对比度拉伸源码-This is used in vc++ Environment deal with the source code of the image contrast stretching source

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

一种基于相位的光流计算方法，该方法不同于以往基于微分的计算方法，而是采用空间滤波器，取得非常好的效果。该结果发表于IEEE Trans. Neural Networks,13(5), 1127--1136. -Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering, IEEE Trans. Neural Networks, 13(5), 1127--1136.