Restored texture segmentation using Markov random fields

Restored texture segmentation using Markov random fields

Texture segmentation plays a crucial role in the domain of image analysis and its recognition. Noise is inextricably linked to images, just like it is with every signal received by sensing, which has an impact on how well the segmentation process performs in general. Recent literature reveals that t...

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Bibliographic Details
Main Authors: Sanjaykumar Kinge, B. Sheela Rani, Mukul Sutaone
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
cellular automata
markov random fields
noisy textures
texture databases
customized median filter
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023442?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023442?viewType=HTML

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