Image processing system using MATLAB-based analytics

Gerald K Ijemaru; Augustine O Nwajana; Emmanuel U Oleka; Richard I Otuka; Isibor K Ihianle; Solomon H Ebenuwa; Emenike Raymond Obi

doi:10.11591/eei.v10i5.3160

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Image processing system using MATLAB-based analytics

Journal article

Open access

Peer reviewed

Image processing system using MATLAB-based analytics

Gerald K Ijemaru, Augustine O Nwajana, Emmanuel U Oleka, Richard I Otuka, Isibor K Ihianle, Solomon H Ebenuwa and Emenike Raymond Obi

Bulletin of Electrical Engineering and Informatics, Vol.10(5), pp.2566-2577

2021

DOI: https://doi.org/10.11591/eei.v10i5.3160

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Abstract

Algorithyms

digital image processing

discrete cosine transforms

image acquisition

image enhancement

image segmentation

MATLAB

Owing to recent technological advancement, computers and other devices running several image editing applications can be further exploited for digital image processing operations. This paper evaluates various image processing techniques using matrix laboratory (MATLAB-based analytics). Compared to the conventional techniques, MATLAB gives several advantages for image processing. MATLAB-based technique provides easy debugging with extensive data analysis and visualization, easy implementation and algorithmic-testing without recompilation. Besides, MATLAB's computational codes can be enhanced and exploited to process and create simulations of both still and video images. Moreover, MATLAB codes are much concise compared to C++, thus making it easier for perusing and troubleshooting. MATLAB can handle errors prior to execution by proposing various ways to make the codes faster. The proposed technique enables advanced image processing operations such as image cropping/resizing, image denoising, blur removal, and image sharpening. The study aims at providing readers with the most recent MATLAB-based image processing application-tools. We also provide an empirical-based method using two-dimensional discrete cosine transform (2D-DCT) derived from its coefficients. Using the most recent algorithms running on MATLAB toolbox, we performed simulations to evaluate the performance of our proposed technique. The results largely present MATLAB as a veritable approach for image processing operations.

Details

Title: Image processing system using MATLAB-based analytics
Authors: Gerald K Ijemaru (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Augustine O Nwajana (Author) - University of Greenwich
Emmanuel U Oleka (Author) - North Carolina Agricultural and Technical State University
Richard I Otuka (Author) - University of East London
Isibor K Ihianle (Author)
Solomon H Ebenuwa (Author) - University of Greenwich
Emenike Raymond Obi (Author) - RaySoft Asset Analytics (Canada)
Publication details: Bulletin of Electrical Engineering and Informatics, Vol.10(5), pp.2566-2577
Publisher: Universitas Ahmad Dahlan
Date published: 2021
DOI: 10.11591/eei.v10i5.3160
ISSN: 2302-9285; 2089-3191
Copyright note: This is an open access article under the Creative Commons Attribution-ShareAlike 4.0 International License. https://creativecommons.org/licenses/by-sa/4.0/
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99584808502621
Output Type: Journal article

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