Skip navigation

Image processing system using MATLAB-based analytics

Image processing system using MATLAB-based analytics

Ijemaru, Gerald and Nwajana, Augustine ORCID: 0000-0001-6591-5269 (2021) Image processing system using MATLAB-based analytics. Bulletin of Electrical Engineering and Informatics, 10 (5). pp. 2566-2577. ISSN 2089-3191 (Print), 2302-9285 (Online) (doi:https://doi.org/10.11591/eei.v10i5.3160)

[img]
Preview
PDF (Author's published manuscript)
33717_NWAJANA_ Image_processing_system.pdf - Published Version
Available under License Creative Commons Attribution Share Alike.

Download (933kB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: algorithms, digital image processing, discrete cosine transforms, image acquisition, image enhancement, image segmentation, MATLAB
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified: 08 Sep 2021 14:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33717

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics