去噪评价指标ENL, SSIM, PSNR,SNR,EPI

基于菲涅耳全息图和离散余弦变换的_盲数字水印_技术(Blind digital watermarking _ technology based on the Fresnel hologram and the discrete cosine transform _)

混合高斯背景建模，可以把连续帧图片前景与背景区分开来(Mixed gaussian background modeling, can continuous frame picture foreground and background to distinguish )

AForge.NET-sample

利用ICM方法得到基于MRF场的SAR图像分割(Achieve market segmentation ICM s MRF)

算法的改进方案，总共有10种，基于质心加权的算法改进(Algorithm improvement program, a total of 10 species, based on the weighted centroid algorithm improvements)

说明：  对指定的一幅含有多个目标的灰度图像，进行基于阈值的图像分割处理，对结果图像进行基于数学形态学的后处理设计，以得到更理想的目标区域。最后对结果图像进行区域标记（以颜色区分不同区域）并提取目标个数、各目标区域的面积、圆形度等特征。(The gray image with multiple targets is segmented based on threshold, and the result image is designed based on mathematical morphology to get a better target area. Finally, we mark the region of the result image (distinguish different regions by color) and extract the number of targets, the area of each target region, roundness and other features.)

使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。(HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)

本文讲述了一种基于图像颜色直方图的图像相似度的度量的方法,。并用Matlab实现，有源代码(This article describes a method based on the image color histogram image similarity measure. And using Matlab, source code)

初学者的游程编码，可以进行小图像的压缩，可以以此为基础进行编码和参考(RLE beginner, you can make small image compression, can be encoded as a basis and reference)