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Nachosdes-1
- 计算机操作系统是一门实践性很强的课程。一般地阐述其工作原理，很可能使本来具体生动 的内容变得十分抽象、枯燥并难以理解。解决好理论与实践相结合的问题是提高操作系统教 学质量的关键。一门好的操作系统实践课将使读者更加形象和深刻地理解课堂中讲述的概 念、原理和它们的应用。 国内外许多著名的大学都在操作系-Computer operating system is a highly practical courses. General descr iption of its working
Facerecognition
- 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会 议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为 当前模式识别和人工智能领域的一个研究热点。 本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确
p2
- image fingerprint quality
MultiresolutionSegmentationanOptimizationApproachF
- 一个关于eCognation软件中经典分割方法的基本原理的论文，好不容易得到了，与大家分享一下-a paper about the basic theory of segmentation about the eCognation software:Multiresolution Segmentation an optimization approach for high quality multiscale image segmentation
Labview_serial_port
- The P S N R is most commonly used as a measure of quality of reconstruction of lossy compression codec (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing c
Oscilloscope
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
singnal
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
FundamentalElectronics
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
2345
- 在酒店业竞越来越激烈的今天，酒店如何提高服务质量、管理能力显得越来越重要。尤其是对于星级酒店,酒店内部服务项目众多,既需要完成前台的一些服务工作,还需要完成后台的管理工作,并且还有餐饮管理,长话管理众多内容。如果没有一套可靠的酒店管理系统,但凭手工操作,不仅效率低下,而且会极大地形象到酒店的服务的服务质量。-Increasingly fierce competition in the hotel industry today, the hotel how to improve service q
CS-of-multi-static-SAR
- 压缩感知在多基地合成孔径雷达中的应用，关于采样相关性与图像重建质量的关系分析-Compressed sensing applications in the multi-base synthetic aperture radar, relationship analysis on sampling correlation with the quality of image reconstruction
Research-on-Error-Diffusion
- 基于半调法的误差扩散方法，利用误差扩散抖动的方法，使图像灰度级增强，提高画面质量。-Error diffusion halftoning method based error diffusion method jitter, enhanced image gray level, to improve the picture quality.
VisualPCPPvidoe-capture
- 视频采集是开发视频监控系统的首要步骤，它关系到采集视频数据的质量，因此，视频采集会影响到其后的各种操作（包括视频预览、视频录像、视频回放、图像识别等）-Video capture is the development of video surveillance system the first step, it is related to the quality of data capture video, so the video capture will affect the subsequ
usb_blaster_schematic
- Altera Corps USB blaster shematic best quality for image.
SONY-EFFIO
- SONY EFFIO资料.rar Effio意思是强大的功能和精细的图像处理器。它是Sony的一种信号处理器，可以实现摄像机的高分辨率，高信噪比和高质量色彩再现。-SONY EFFIO information. Rar Effio mean powerful and sophisticated image processor. It is a Sony signal processor, the camera can achieve high resolution, high signa
quzao
- 图像去噪的基础知识，质量的评价方法,3.1 中值滤波的基本原理-Evaluation of the basics of image de-noising, the quality of
Grading-test
- 为实现合格和缺陷板栗的分级， 研究了 1 种基于 BP 神经网络与板栗图像特征的板栗分级方法。 试验以罗田板 栗为研究对象， 提取的颜色及纹理等 8 个特征值， 通过主成分分析提取相应的主成分得分向量构成模式识别的输入。 利 用 BP 神经网络方法建立了板栗分级模型。 试验结果表明， 在图像信息主成分因子数为 3， 中间层节点数为 12 时， 建立 的模型最佳， 模型训练时的回判率为 100 ， 预测时识别率达到了 91 .67 。 研究结果表明基于机器视觉技术的针对缺陷 板栗分
25292626
- 为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特 征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸 局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人 脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
psnr
- PSNR CALCULATION The Mean Square Error (MSE) and the Peak Signal to Noise Ratio (PSNR) are the two error metrics used to compare image compression quality. The MSE represents the cumulative squared error between the compressed and the original image,
1-s2.0-S1568494614004347-main
- Considering the different influence of image segmentation about the factorsof the distance between target and background as well as each kind of cohesion, an improved Otsualgorithm is proposed, and its basic principle and segmentation advantages are
jg
- Detect tampering in low quality image. Part of a image is extracted , compressed at different quality original image reinserted in to original image. Calculate sum of square difference between manipulated image and different resaved version comp