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[Other] opencv_tutorial_cxcore_highgui_2005Q4 DL : 0: OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms. OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible. OpenCV is free for both non-commercial and commercial use (see the license for details). OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm -------------------------------------------------------------------------------- 本文是opencv的入门教程-means Intel OpenCV
Date : 2025-12-22 Size : 1.73mb User : dyoo
[Other] Learning+OpenCV_+Computer+Vision+with+the+OpenCV+L DL : 0: learning opencv 。一本opencv新书，对于新手非常适合，由浅入深，是学习opencv的精品；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。-learning opencv. Opencv a new book, very suitable for the novice, easy-to-digest, is learning opencv boutique OpenCV is Intel ? Open Source Computer Vision Library. It consists of a series of C function and a small amount of C++ Category consists of the realization of the image processing and computer vision aspects of many common algorithms.
Date : 2025-12-22 Size : 10.26mb User : 黄跃跃
[Other] TEXTURE-IMAGE-SEGMENTATION DL : 0: 提出了一种基于非下采样 Contourlet变换 ( NSCT)和马尔科夫随机场 (MRF)相结合的纹理图像分割算法。算法包括两个步骤, 首先通过 NSCT实现对图像纹理特征的提取, 并使用模糊 C-均值完成对图像的初始分割然后将初始分割结果用 MRF模型表示, 通过贝叶斯置信传播得到图像的最终分割结果。实验结果表明, 对于纹理图像,该方法在分割错误率、区域一致性以及边缘的准确性方面都比传统小波变换的方法有了明显的改善。-A tex ture i m age seg m entation a l go rithm based on comb i nati on of non-down sa m pling Contourlet transfor m ( NSCT) andM arkov rando m fi e l d model is proposed . The algorithm consists o f t wo steps . F ir st , the tex t u re f ea t ure of i m ag e is ex trac ted by NS CT, and the i m age is seg m ented i n itia lly by fuzzy c- m eans Second , the pr i m aril y seg m ented results are expressed byMRF mode, l and the fi nal seg m entati on re- s u lts are ga i ned v i a Bayes beli e f propag ati on . The exper i menta l resu lts show tha t this a l gor it hm is effecti ve fo r tex t ure i m age , it prov i desm uch better res u lts i n erro r ra te o f segm enta tion , reg ion ho m ogene ity and edge accuracy than tho se of trad iti onal w ave let transf o r m ing m ethods
Date : 2025-12-22 Size : 211kb User : jjdjjf