TCvBsISM: Texture Classification via B-Splines-Based Image Statistical Modeling

TCvBsISM: Texture Classification via B-Splines-Based Image Statistical Modeling

This paper presents an image statistical modeling-based texture classification (TC) approach via the Bayesian-driven B-splines probability density estimation of the image textural surface appearance (ITSA), termed TCvBsISM. It approximates the probability density functions (pdfs) of the marginal dis...

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Bibliographic Details
Main Authors: Jinping Liu, Jiezhou He, Wuxia Zhang, Pengfei Xu, Zhaohui Tang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Image statistical modelling
B-spline probability density estimation
minimum entropy
Bayesian probability density estimation
texture classification
Online Access:https://ieeexplore.ieee.org/document/8432405/

Internet

https://ieeexplore.ieee.org/document/8432405/

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