Fusing DTCWT and LBP Based Features for Rotation, Illumination and Scale Invariant Texture Classification

Fusing DTCWT and LBP Based Features for Rotation, Illumination and Scale Invariant Texture Classification

Classification of texture images with different orientation, illumination, and scale changes is a challenging problem in computer vision and pattern recognition. This paper proposes two descriptors and uses them jointly to fulfill such task. One can obtain an image pyramid by applying dual-tree comp...

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Bibliographic Details
Main Authors: Peng Yang, Fanlong Zhang, Guowei Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Texture feature extraction
dual-tree complex wavelet transform
local binary pattern
texture classification
Online Access:https://ieeexplore.ieee.org/document/8268051/

Internet

https://ieeexplore.ieee.org/document/8268051/

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