Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)

Edge detection; Extraction; Medical imaging; Pixels; Code complexity; Complex background; Computation time; Open sources; Pixel intensities; Real-time application; Single images; Video motion; Image enhancement

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Main Authors: Al-Ghaili A.M., Kasim H., Al-Hada N.M., Othman M., Saleh M.A., Jihua W.
Other Authors: 26664381500
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-256972023-05-29T16:12:57Z Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE) Al-Ghaili A.M. Kasim H. Al-Hada N.M. Othman M. Saleh M.A. Jihua W. 26664381500 57203863798 55976109600 24824928800 55567294600 55929419400 Edge detection; Extraction; Medical imaging; Pixels; Code complexity; Complex background; Computation time; Open sources; Pixel intensities; Real-time application; Single images; Video motion; Image enhancement In this paper, images' pixels are exploited to extract objects' edges. This paper has proposed a Pixel Intensity based Contrast Algorithm (PICA) for Image Edges Extraction (IEE). This paper highlights three contributions. Firstly, IEE process is fast and PICA has less computation time when processing different images' sizes. Secondly, IEE is simple and uses a $2\times 4$ mask which is different from other masks where it doesn't require while-loop(s) during processing images. Instead, it has adopted an if-conditional procedure to reduce the code complexity and enhance computation time. That is, the reason why this design is faster than other designs and how it contributes to IEE will be explained. Thirdly, design and codes of IEE and its mask are available, made an open source, and in-detail presented and supported by an interactive file; it is simulated in a video motion design. One of the PICA's features and contributions is that PICA has adopted to use less while-loop(s) than traditional methods and that has contributed to the computation time and code complexity. Experiments have tested 526 samples with different images' conditions e.g., inclined, blurry, and complex-background images to evaluate PICA's performance in terms of computation time, enhancement rate for processing a single image, accuracy, and code complexity. By comparing PICA to other research works, PICA consumes 5.7 mS to process a single image which is faster and has less code complexity by $u\times u$. Results have shown that PICA can accurately detect edges under different images' conditions. Results have shown that PICA has enhanced computation time rate for processing a single image by 92.1% compared to other works. PICA has confirmed it is accurate and robust under different images' conditions. PICA can be used with several types of images e.g., medical images and useful for real-time applications. � 2013 IEEE. Final 2023-05-29T08:12:57Z 2023-05-29T08:12:57Z 2020 Article 10.1109/ACCESS.2020.3005050 2-s2.0-85088087619 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088087619&doi=10.1109%2fACCESS.2020.3005050&partnerID=40&md5=6c020ffc47738d591714039126b76892 https://irepository.uniten.edu.my/handle/123456789/25697 8 9125896 119200 119220 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Edge detection; Extraction; Medical imaging; Pixels; Code complexity; Complex background; Computation time; Open sources; Pixel intensities; Real-time application; Single images; Video motion; Image enhancement
author2 26664381500
author_facet 26664381500
Al-Ghaili A.M.
Kasim H.
Al-Hada N.M.
Othman M.
Saleh M.A.
Jihua W.
format Article
author Al-Ghaili A.M.
Kasim H.
Al-Hada N.M.
Othman M.
Saleh M.A.
Jihua W.
spellingShingle Al-Ghaili A.M.
Kasim H.
Al-Hada N.M.
Othman M.
Saleh M.A.
Jihua W.
Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
author_sort Al-Ghaili A.M.
title Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
title_short Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
title_full Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
title_fullStr Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
title_full_unstemmed Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE)
title_sort pixel intensity-based contrast algorithm (pica) for image edges extraction (iee)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423354949763072
score 13.211869