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: A detailed introduction about pattern recognition and machine learning Domain. Very useful for research. Platform: |
Size: 7633920 |
Author:sophrina |
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Description: 关于模式识别过程中，利用ZERNIKE矩的方法，防止角度偏差对识别效果的影响-On the pattern recognition process, the use of ZERNIKE moment method, to prevent the angle of deviation of the recognition effect Platform: |
Size: 824320 |
Author:DZ |
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Description: stpr statistical toolbox of pattern recognition 提供了模式识别中很多常见的算法函数-stpr statistical toolbox of pattern recognition provides a pattern recognition algorithm in the function of many common Platform: |
Size: 4217856 |
Author:yaowei |
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Description: 模式识别的教程，介绍模式识别的基础内容，希望对大家有帮助-Pattern recognition tutorial to introduce the basis of pattern recognition and, hopefully, be helpful to everyone Platform: |
Size: 2098176 |
Author:zhaojun |
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Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition. Platform: |
Size: 52224 |
Author:rupesh |
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Description: 用来对图像进行分类。Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei. -Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei. Platform: |
Size: 31778816 |
Author:qinlei |
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Description: a code on pattern recognition which has pca as a dimentional reduction and knn as a classifier. Platform: |
Size: 21504 |
Author:fatal |
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Description: 这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离；
back-tracking程序是“回溯”法画出最佳路径的代价网格；
Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯
折。-This is a pattern recognition template matching the content of Matlab routines, which edit_distance procedures used to calculate the two symbols of the edit distance between strings back-tracking program is " back" method to draw the best path cost grid Dtw- Sakoe.m program is a Sakoe-Chiba local path constraint of the dynamic time warping. Platform: |
Size: 1024 |
Author:王明松 |
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