Fuzzy based iterative matting technique for underwater images

Abstract The paper presents an iterative matting technique for extraction of underwater objects from images. The technique adopts histogram division and stretching to obtain multiple images of different contrast levels that exhibit all image details. For each contrast image, alpha matte is produced...

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Main Authors: Benish Amin, M Mohsin Riaz, Abdul Ghafoor
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.12032
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author Benish Amin
M Mohsin Riaz
Abdul Ghafoor
author_facet Benish Amin
M Mohsin Riaz
Abdul Ghafoor
author_sort Benish Amin
collection DOAJ
description Abstract The paper presents an iterative matting technique for extraction of underwater objects from images. The technique adopts histogram division and stretching to obtain multiple images of different contrast levels that exhibit all image details. For each contrast image, alpha matte is produced and is further refined with every iteration. In the end, fuzzy weights are assigned to the alpha mattes obtained at different contrast levels that are combined using weighted average. The resultant alpha matte thus includes more accurate pixels from multiple alpha mattes and generates much refined matte image. The proposed technique is tested, visually and quantitatively, on a manual dataset containing 50 images. The less MSE shows that the proposed technique achieves noticeably higher accuracy as compared with contemporary image matting techniques.
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spelling doaj.art-63cb1d53d0c94a97a767993b0bc759252022-12-22T04:08:09ZengWileyIET Image Processing1751-96591751-96672021-02-0115241942710.1049/ipr2.12032Fuzzy based iterative matting technique for underwater imagesBenish Amin0M Mohsin Riaz1Abdul Ghafoor2National University of Sciences and Technology (NUST) Islamabad PakistanCenter for Advanced Studies in Telecommunication (CAST) COMSATS Islamabad PakistanNational University of Sciences and Technology (NUST) Islamabad PakistanAbstract The paper presents an iterative matting technique for extraction of underwater objects from images. The technique adopts histogram division and stretching to obtain multiple images of different contrast levels that exhibit all image details. For each contrast image, alpha matte is produced and is further refined with every iteration. In the end, fuzzy weights are assigned to the alpha mattes obtained at different contrast levels that are combined using weighted average. The resultant alpha matte thus includes more accurate pixels from multiple alpha mattes and generates much refined matte image. The proposed technique is tested, visually and quantitatively, on a manual dataset containing 50 images. The less MSE shows that the proposed technique achieves noticeably higher accuracy as compared with contemporary image matting techniques.https://doi.org/10.1049/ipr2.12032Optical, image and video signal processingInterpolation and function approximation (numerical analysis)Computer vision and image processing techniquesCombinatorial mathematicsInterpolation and function approximation (numerical analysis)Combinatorial mathematics
spellingShingle Benish Amin
M Mohsin Riaz
Abdul Ghafoor
Fuzzy based iterative matting technique for underwater images
IET Image Processing
Optical, image and video signal processing
Interpolation and function approximation (numerical analysis)
Computer vision and image processing techniques
Combinatorial mathematics
Interpolation and function approximation (numerical analysis)
Combinatorial mathematics
title Fuzzy based iterative matting technique for underwater images
title_full Fuzzy based iterative matting technique for underwater images
title_fullStr Fuzzy based iterative matting technique for underwater images
title_full_unstemmed Fuzzy based iterative matting technique for underwater images
title_short Fuzzy based iterative matting technique for underwater images
title_sort fuzzy based iterative matting technique for underwater images
topic Optical, image and video signal processing
Interpolation and function approximation (numerical analysis)
Computer vision and image processing techniques
Combinatorial mathematics
Interpolation and function approximation (numerical analysis)
Combinatorial mathematics
url https://doi.org/10.1049/ipr2.12032
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