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In this paper, a novel texture classification method using selected and combined features from wavelet frame and steerable pyramid decompositions has been ...
A novel texture classification method using selected and combined features from wavelet frame and steerable pyramid decompositions has been proposed and can ...
[PDF] Multi-Layer Feature Fusion and Selection from Convolutional ...
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Keywords: Texture Classification, Feature Extraction, Feature Selection, Discriminative Features, Convolutional Layers. ... features fusion and selection ...
Feature selection methodology and discriminant analysis are applied to find the optimal combination of texture features. By combining features derived from ...
The extracted and selected features from multiple layers can be further manageable by a classifier. The proposed approach is evaluated on three challenging ...
In this paper, we propose methods where Convolution Neural Network (CNN) features are used for feature extraction and Support Vector machine is used as ...
Missing: Selection | Show results with:Selection
This paper describes a method of unsupervised color texture segmentation by efficiently combining different features obtained from multi-channel and ...
A feasible texture classification algorithm is proposed based on Gabor/MRF feature fusion.The performance of the algorithm is investigated with Brodatz and ...
In this work, we propose a texture classification strategy based on a best feature selection method, which improves classification accuracy. Our proposed ...
Oct 24, 2019 · The results show that the multi-features fusion classification method improves the classification accuracy of distorted texture images and has ...