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blobrw
- 微软的SQL SERVER数据库的Image、text等字段都属于二进制的大对象。这些对象的存取和其他轻型对象略有不同。 微软.NET Framework的System.IO命名空间下给我们提供了一个FileStream文件流类。我们可以使用这个文件流对二进制大对象轻松进行读写。 我实现了一个简单的WinForm程序，这个程序通过点击“Open”按钮选择一个bmp或者jpg文件，并显示在图形控件PictureBox中。通过“Save”按钮存入数据库。点击“View”CheckBo
remotescreen
- 本文就当前的热点远程屏幕图象的抓取及其在网络上传输过程进行了详细介绍，并针对目前这类相关软件中普遍存在的网络带宽过大、实时性差、占用系统资源过多、稳定性差等问题侧重在屏幕图象的抓取与位图数据流的压缩、解压缩两方面提出了较为有效的解决方法，并提供了改进与实现的Delphi代码。本文将对于现有此类相关软件的完善及今后相关软件的研发具有非常重要的指导与参考价值-paper on the current hot Remote screen image capture and transmission n
jiyuzhifangtu
- 读入一个标准图像格式文件（JPG,BMP,TIFF等）并显示出来。利用直方图技术实现图像的增强并存储这幅图像。比较与原图像的区别 -read into a standard image format (JPG, BMP, TIFF, etc.) and displayed. Histogram using technology to enhance the image and image storage site. Comparison with the difference between
ImageButtonSolution
- C# Web 中图像按钮控件源码，类似windows软件编程中常用的图像按钮，所不同的是这个是用于Web网页中的-C# Web Image button control source, Similar windows programming software used in the button image, the only difference is this is for the Web
DALSWAdmin.rar
- C#程序实现form换肤代码本程序包括皮肤文件与office2007界面控件,C# Implementation of Image Edge Detection (uniformity, marginal difference, sobel, canny) iplab_demo
example8
- 是一种基于像素的运动检测方法，它过对视频图像序列中相邻的两个或三个图像进行差分运算来获得运动物体轮廓-Is a pixel-based motion detection method, which over the video image sequence of two or three adjacent image difference operation to get the outline of moving objects
gfhgfhgf
- 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial vi
screen4
- 可以实现屏幕区域内选框截屏，跟截取桌面作为背景稍有差别，采用窗体前置透明化截取桌面图像。-Can be achieved within the screen area box screen shots, as the desktop background with a slight difference in the interception, the interception of the desktop image using a form transparent
ndvi
- 生成归一化植被指数(NDVI)数据产品及图象产品的IDL源程序-Generate normalized difference vegetation index (NDVI) data products and image products, IDL source code
sanzhenchafa
- 利用三帧帧差法实现视频图像的前景与背景的分离-Three frame difference method of video image foreground and background separation
pixelreductionRG
- 使用random grid法將秘密影像分解成兩張無意義的分享圖，將兩張分享圖重疊可獲得秘密影像。與以往random grid法的差異點在於，此方法可以減少像素，但仍然可以看到秘密影像。-Random grid method using a secret image is decomposed into two meaningless to share maps, will be available two to share a secret map of overlapping images.
ImageSynthesis
- 图像合成算法。将两幅图像以影差法融合。包括图像的各种与或逻辑运算。-Image synthesis algorithms. The two images to video integration difference method. Including a variety of images and or logic operation.
watermarkingbyDE
- image watermarking by using different expension including Tian s and alttar s schemes.
ZhaoCha
- windows gdi和图像解析示例，是一个图像对比工具，可用作"大家来找茬"游戏*，类似qq截图的方法选择源图像区域，软件会自动锁定右边的比较区域，并显示左右区域不同处-a example for window GDI operation, a image compare tool, can be used to compare 2 picture and find difference, when you choose the source image area, the program
test_qulity_of_image
- 计算插值图像和原始图像之间的视觉差别 采用亮度委员会的标准 编写得测试代码 输出值越小 插值效果越好-Calculating the visual difference between the original image and interpolation image using brightness standards for the preparation of the Commission may test code output value the smaller the bette
Secondarylegislation
- Secondarylegislation.c 二次立方差值适用于图像的放大缩小效果不错-Secondarylegislation.c bicubic difference for the image to zoom in on good results
dsp_bf533_videotest
- bf533 开发板，基于视频图像差分法变化检测 开发环境:visul dsp 5.0-the bf533 development board, based on the video image difference method change detection the development environment visul dsp 5.0
Image-segmentatio
- 图像分割的两种有效方法，阈值分割和区域生长。其中，阈值分割适合目标区域与其背景在灰度特性上的差异比较大情况。另外，效果较好的区域生长法可以为大家提供参考-Two effective methods of image segmentation, thresholding and region growing. Among them, thresholding suitable target region and its background in grayscale characteristics
diff_coder
- 差值图片：从原图减去均值图片，编码及解码及测试代码(difference source coder: a difference image constructed by subtracting the pixel means from the original image)
IJARCCE 200
- In this paper, the Detection of the Moving Object is done based on Background Subtraction & Frame Differencing techniques. A moving object can be detected by employing various methods such as, by taking the difference between two Images.