Description: 一种基于纹理分类的数字指纹授权认证系统，matlab实现，在傅立叶域中嵌入数字指纹-texture classification based on the number of authorized fingerprint authentication system, the realization of Matlab, Fourier domain embedded in digital fingerprints Platform: |
Size: 461824 |
Author:刘波 |
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Description: 灰度共生矩阵,半调图像
首先算出图像的增强的一维相关性,并用生经网络进行分类,可以分为6的大类
然后针对第三大类Cluster4和Diffuse8,可以利用图像的纹理特征参数(逆差矩)进行分类-Gray Level Co-occurrence matrix, first calculated image halftone images enhanced the relevance of one-dimensional, and the classification of Health through the network can be divided into 6 major categories and then for the third largest category of Cluster4 and Diffuse8, can make use of image texture characteristic parameters (deficit moment) to classify Platform: |
Size: 10240 |
Author:郭世雄 |
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Description: 为进一步进行纹理特征分析，从纹理的方向性人手，给出了纹理方向的数学定义式，合理选择差异函数，
构造了具有物理意义的纹理方向描述特征向量．数据处理方面，运用模糊贴近度的概念，结合改进后的属性均值聚
类算法，对一类具有方向性的纹理图象进行分类与分割实验，取得了较好的结果．试验表明，该方法对纹理的方向
性有很好的描述能力．
关键词 图象分割 纹理方向 纹理分割 神经网络 模糊聚类
-Texture features for further analysis, staff from the texture direction, given the direction of the mathematical definition of texture type, a reasonable choice of the difference function, structure with a physical meaning to describe the direction of the texture feature vector. Data processing, the use of the concept of fuzzy nearness degree, combined with improved properties means clustering algorithm for a class of directional texture image classification and segmentation experiments, achieved good results. Tests show that the method of directional texture has a good description of the capacity. Keywords Image segmentation, texture segmentation texture direction fuzzy clustering neural network Platform: |
Size: 291840 |
Author:wgn |
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Description: 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 Platform: |
Size: 3072 |
Author:wugang |
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Description: 提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果.
-Based on the function connected perceptron neural network texture classification method. It uses 2 Gaussian Markov Random Field Model (GM RF) to describe the texture, the model parameters is the texture feature, parameter estimation using least squares error obtained. the estimated parameters as the expression of texture feature vector, using the characteristics of sensor networks for classification, and the use of function to resolve connection problems can not be separated from linear. of texture images of the experiments show that this approach can enhance the learning speed, to simplify the calculation process and obtain a better effect of texture classification. Platform: |
Size: 285696 |
Author:singro jiang |
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Description: 利用LBP纹理模型进行纹理分类，其论文<..Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching>发表在2009年Pattern Recognition，效果很不错。-Texture classification by LBP texture model. The related paper <..Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching> has been published in Pattern Recognition 2009. Platform: |
Size: 12288 |
Author:宁纪锋 |
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Description: Gabor小波变换代码用于局部特征提取使用，又相当好的效果-Gabor texture descriptor have gained much attention for
different aspects of computer vision and pattern recognition.
Recently, on the rayleigh nature of Gabor filter outputs
Rayleigh model Gabor texture descriptor is proposed.
In this paper, we investigate the performance of these two
Gabor texture descriptor in texture classification. We built
a texture classification system based on BPNN, and use the
corresponding feature vector from traditional Gabor texture
descriptor or Rayleigh model one as input of BPNN. We use
three datasets from the Brodatz album database. For all
the three datasets, the original texture images are subdivided
into non-overlapping samples of size 32 × 32. 50
of the total samples are used for training and the rest are
used for testing. We compare the system training time and
recognition accuracy between two Gabor texture descriptor.
The experimental results show that, it takes more time when
using Rayleigh model Gabor texture descriptor than tr Platform: |
Size: 16384 |
Author:力量 |
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Description: Wavelet Texture classification example.
Features created using wavelet transform,and classified by A-Wavelet Texture classification example.
Features created using wavelet transform,and classified by ANN Platform: |
Size: 880640 |
Author:bergen |
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Description: Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features - pdf Platform: |
Size: 489472 |
Author:Nitromira |
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Description: 这是利用LBP纹理模型进行纹理分类，运行过，效果不错，-This is the use of LBP texture model for texture classification, run over, the effect is good, Platform: |
Size: 13312 |
Author:杨明 |
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Search - texture classification