Multi-features fusion classification method for texture image

Multi-features fusion classification method for texture image

Aiming at the problem of poor classification and recognition rate for distorted texture image based on single texture feature, a classification method of texture image based on multi-features fusion is proposed. First, the corresponding GLCM features, HOG features, and HU moment features were extrac...

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Bibliographic Details
Main Authors: Jing Chen, Yanxin Zhang, Yuanyuan Jiang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
support vector machines
principal component analysis
feature extraction
image fusion
image segmentation
matrix algebra
image texture
image classification
multifeatures fusion classification method
classification accuracy
distorted texture image
hog features
hu moment features
segmented texture images
feature matrices
principal component analysis method
fused feature matrix
single texture feature classification method
glcm features
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9118

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9118

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