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基于小波分析,使用线性回归模型来进行纹理的识别和分类,是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature.
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一种基于最大熵和部件的物体检测方法。在人脸检测上的应用取得了很大的准确率提升。-This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance
of scale- or affine-invariant ke
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基于压缩感知的纹理图像分类,介绍了一种新的高效算法:分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation
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有关LBP方法的相关英文文献,可以用来纹理分析和分类,特征提取等-the papers about LBP methods, which can be used for feature extraction, texture classification and analysis
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efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
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Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plan
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该文献是关于旋转不变纹理特征的提取,分类算法-the paper is about rotation invariant texture feature classification algorithm
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作为一种优秀的纹理特征提取技术,多重分形谱插值方法被提出用于图像的特征提取和分类。-As an excellent texture feature extraction technology, a multi-fractal spectrum interpolation methods have been proposed for image feature extraction and classification.
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