A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation | Zendy

Mohammad Masroor Ahmed | Zendy; Saleh Al Shehri | Zendy; Jawad Osman Arshed | Zendy; Mahmood ul Hassan | Zendy; Muzammil Hussain | Zendy; Mehtab Afzal | Zendy

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A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation

Author(s) -

Mohammad Masroor Ahmed,

Saleh Al Shehri,

Jawad Osman Arshed,

Mahmood ul Hassan,

Muzammil Hussain,

Mehtab Afzal

Publication year - 2021

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2021.014141

Subject(s) - jaccard index , markov random field , dice , artificial intelligence , similarity (geometry) , segmentation , pattern recognition (psychology) , computer science , ground truth , region of interest , maximum a posteriori estimation , expectation–maximization algorithm , maximization , image segmentation , computer vision , image (mathematics) , noise (video) , mathematics , maximum likelihood , statistics , mathematical optimization

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