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C# 仿QQ管家UI以及功能源码，效果不错，值得收藏

一个SAR目标边缘自动检测与定位算法的一个车辆检测的视频(A vehicle detection, an automatic detection and localization of SAR edge algorithm of video)

特征提取是图像配准的重要步骤，使用Harris角点检测算法实现图像拼接。(Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.)

题目： 八宝粥的生产过程中需要用到大量的红豆（红蚕豆），而实际上从红豆产地购买得到的红豆中会参杂一些杂物和不合格红豆。为了保证八宝粥的质量，需要对红豆进行筛选，去除不合格红豆和其它杂物。目前国内在红豆筛选工序上仍然使用人工筛选的方式，存在人工成本高、精确度差、劳动强度大等缺点。因此八宝粥生产厂商迫切需求开发一款能够自动实现红豆筛选的自动化筛选机。针对上述需求，请设计筛选机中的基于可见光图像的红豆筛选算法，该算法应尽可能的准确的找到参杂在红豆原料中的不合格红豆和杂物。 附件包括两个不同实验环境下拍摄得到的红豆相关图片样本库，实验环境分别为自然光照条件和灯光条件。每个条件下的样本库包括合格、不合格、杂物和混合四类样本的图像，其中合格、不合格以及杂物的图像可用来训练或建模，混合类图像用来测试算法的准确性和实时性。同学可在自然光照环境下的样本库或者灯光条件下的样本库中任选其一，用于解决上述问题。 作业提交格式包括以下四个内容： 一、 问题分析 二、 算法设计 三、 实验结果(将自己选择的样本库中的混合样本图片中的样本个体进行分类，并给出可视化的分类结果。) (Title:Use a lot of red bean production process of eight-treasure porridge ( red bean ), but in fact from the Red areas available in red bean can blend some sundries and unqualified red bean. In order to ensure the quality of eight-treasure porridge, the need for screening of red bean, red bean and other debris removal is not qualified. At present in the domestic bean screening process still use manual screening method, has the disadvantages of high labor costs, poor accuracy, high labor intensity. Therefore, eight-treasure porridge manufacturers need to develop a can achieve automatic bean screening automatic screening machine. According to the above requirements, please design screening machine selection algorithm based on visible light image of the red, the algorithm should be as accurate as possible to find the mixed in the bean raw materials in the unqualified red bean and debris.Accessories include captured in two different experimental environment of the red bean image sample dat)

说明：  基于MATLAB图像阈值分割 ，有不同的方法，如人工阈值分割，大津法阈值分割等(Based on MATLAB image threshold segmentation, there are different methods, such as artificial threshold segmentation, Otsu threshold segmentation and so on)

outguess 隐写源码，用于对于图像上附加秘密信息 (outguess steganography source code for additional confidential information for the image)

The Mathematics of Medical Imaging-The Radon Transform,Back Projection,Discrete Image Reconstruction,The Fourier Transform,Filters and convolutions

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：  CxImage是一款免费的、开源的、功能强大的图形处理库。 跨平台，支持windows、linux等；支持BMP、GIF、ICO、TGA、JPEG、PCX、PNG、TIFF、MNG、RAS等多种图像格式；支持格式转换、图像处理、几何变换等；最重要的是使用非常简单。此为VC6修正版(CxImage is a C++ image processing library. It can load, save, display, transform images in a very simple and fast way, with transparency, multiple layers and selections, support for BMP GIF JPG PNG MNG TIF ICO TGA PCX J2K JBG RAS PNM RAW PSD.)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)