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对象计算,使用图象处理技术对图象上的药品,颗粒等物体进行分类-object computing, the use of image processing technology to image the drugs, such as particle classification of objects
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于内容的图像认证技术是一种新颖的图像信息安全技术,用来验证数字图像内容的完整性与真实
性。本文介绍了基于内容的图像认证技术的分类、发展历史和研究现状,并针对其现有算法的缺陷,对未来的发
展趋势和应用进行了展望。
-content in the image authentication technology is a novel image information security technology, used to verify digital image content aut
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用于高光谱图像处理的matlab程序,包括图像融合,降维和图像的极大似然分类程序-for hyperspectral image processing Matlab procedures, including image fusion, dimensionality reduction and image of the maximum likelihood classification procedures
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杨淑莹教授编著的《图像模式识别——VC++技术实现》配套光盘中分类识别源程序。版权归作者所有。-2.Tianjin edited by "image pattern recognition -- VC technology" complementary CD-ROM classification source. All the property of the author.
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套中小型企业网站建设,信息发布,资料存储管理的系统平台,支持无限级的分类与子分类,支持多种风格,内置HTML编辑器,采用smarttemplate模板引擎,页面高速缓存,使用XHTML+CSS技术,方便的管理文章所用图片,防止垃圾图片的产生-sets of SME websites, information dissemination, data storage management system platforms, support unlimited-class classification
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利用形态学方法寻找图像中互相重叠的点 对其进行分类并最后消除。-using morphological methods for image overlapping points classification and its final elimination.
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svm程序代码,用于模式识别和分类,也可用于图像特征。-svm code for pattern recognition and classification can also be used to image features.
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Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
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gaborconvolve.m Code for convolving an image with a bank of log-Gabor filters. A pre-processing step for texture analysis, feature detection and classification
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The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extractio
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Type Classification Code [英汉计算机大词典] n.分类码 :main.m (program control)discretize.m (converts image to discrete values)plotimg.m (plots划分 images)dirImg.m (computes the directional image)extract.m (extracts square portion of image抽取块方向图 - called by dirImg
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VC 图像模式识别的分类程序,里面有神经网络的算法,很经典,VC image pattern recognition classification procedures, there are neural network algorithm, it is a classic
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各种基本图像处理功能:1、格式转换:将RAW格式转换成BMP格式;2、线性变换;3、图像平滑;4、图像增强;5、边缘检测:梯度算子,Robert梯度算子,Prewitt算子,Laplacian算子,Sobel算子,Marr算子;6、直方图显示;7、形态运算(二值化、腐蚀、膨胀、开运算、闭运算);8、自动分类及类别提取:K均值分类。其中:1.2.3.4.5.7仅能对灰度图处理,6.8不仅能处理灰度图还能处理彩色图,Basic image processing functions: 1, forma
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图像模式匹配检测,使用C++,代码简洁,可实现
Video Retrieval System
视频分类与检索,世界trieckvid大赛使用参考-Image pattern matching detection, the use vs2008 environment, the code is simple and can achieve Video Retrieval System video classification and retrieval, using the referen
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MCA算法源程序,可用于稀疏分解,信号分类,图像修复,信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
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图像的特征用到了Dense Sift,通过Bag of Words词袋模型进行描述,当然一般来说是用训练集的来构建词典,因为我们还没有测试集呢。虽然测试集是你拿来测试的,但是实际应用中谁知道测试的图片是啥,所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单,虽然很多人也问过我,但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了,面试中也经常问到我这个问题,不知道你们都怎么用生动形象的语言来描述这个问题?
用BoW描述完图像之后,指的是将训练集以及测试集
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LTI库是一个面向对象的计算机视觉库写在C++视窗/余-VC++和Linux的/gcc.它提供了很多功能来解决数学问题、图像处理算法很多,有些工具和分类得多-LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, m
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基于kmeans的图像分割算法,首先得到图像,再确定分类,并计算各分类的均值,从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pi
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对于图像中的不同水果,分别从颜色,形状等方面进行识别,并且分类。-For the image of different fruits, respectively from the color, shape, etc for identification and classification.
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图像识别算法。对图像中不同的对象进行分类识别。如三角开,四边形,五边形等。-Image recognition algorithm. The image objects of different classification. Such as the triangle open, quadrilateral, pentagon and so on.
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