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CRF learning and inference algorithm for scene labeling and classification
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本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
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数字图像处理及实例应用，包括图像的边缘检测，阈值分割算法，文字与非文字区域的划分-And examples of digital image processing applications, including edge detection, threshold segmentation algorithm, text classification with non-text area
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主要讲述基于图像的形状分析和分类的理论和实践方法，是图像处理和模式识别方面的好书-Mainly about theory and practice for image-based shape analysis and classification. A good book for image processing and pattern recognition.
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模式识别是以应用为基础，目的是将图像进行分类。这些对象与应用领域有关，可以是图像、波形或者任何可测量且需要分类的对象。虹膜识别即为模式识别的一个主要应用，一个自动虹膜识别系统包含硬件和软件两大模块，虹膜图像获取装置和虹膜识别算法，分别对应于图像获取和模式匹配这两个基本问题。-Pattern recognition is based on the application purpose is to image classification. Related to the field with th
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SAR图像分类程序，基于灰度阈值的分类，无监督学习的分类简单。-SAR Image classification
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模式识别关于图像的分类，贝叶斯判据，fisher判据。很好用-Pattern recognition of image classification, Bayesian criterion, fisher criterion. Well with
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基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material
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遥感图像基于纹理特征的分类算法，英文文献，有详细设计-Remote sensing image classification algorithm based on texture features, English literature, a detailed design
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用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.
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Summary: This program do image classification .
Required Products: Image Processing Toolbox
Descr iption: A simple program for object extraction from images.
-Summary: This program do image classification .
Required Products: Image P
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的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出
了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征，
并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并
成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数
字图像之间的特征区分能力。-Study color digital image classification and recognition m
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人脸稀疏分类研究，基于DD-DT CWT多字典的人脸特征稀疏分类方法-Face thinning classification, based on DD-DT CWT dictionary feature sparse classification method
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基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。-Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).
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Image classification
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Textural Features for Image Classification-Texture is one of the important characteristics used in
identifying objects or regions of interest in an image, whether the image
be a photomicrograph, an aerial photograph, or a satellite image. This
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基于内容的图像识别-支持向量机方法-8分类-Content-based image recognition- classification of support vector machines-8
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基于matlab神经网络的遥感图像分类，使用了BP神经网络-Matlab neural network-based remote sensing image classification using BP neural network
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基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
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K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
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