International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 1 (January 2022), Pages: 138-147

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 Original Research Paper

 Title: Region-based image retrieval using region of interest (ROI) according to incremental frame and clustering color image

 Author(s): Abd Rasid Mamat *, Fatma Susilawati Mohamad, Mohamed Afendee Mohamed, Norkhairani Abd Rawi, Mohd Khalid Awang

 Affiliation(s):

 Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-0047-0945

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.01.016

 Abstract:

Content-based image retrieval involves the extraction of global feature images for their retrieval performance in large image databases. Extraction of global features image cause problem of the semantic gap between the high-level meaning and low-level visual features images. In this study RBIR, Region of Interest Based (ROI) Image Retrieval Using Incremental Frame of Color Image was proposed. It combines several methods, including filtering process, image partitioning using clustering and incremental frame formation, complementation law of theory set to generate ROI, NROI, or ER of the region. The concept of weighting as well as a significant query is also incorporated as a query strategy. Extensive experiments were also conducted on the Wang database and the color model selected was the CIE lab. Experimental results show the proposed method is efficient in image retrieval. The performance of the proposed method shows a better average IPR value of 3.51% compared to RGB and 22.92% with the HSV color model. Meanwhile, it also performs better by 36%, 5%, and 24% compared to methods CH (8,2,2), CH (8,3,3), and CH (16,4,4). 

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Region of interest, Incremental frame, Significant query, Image partition

 Article History: Received 4 August 2021, Received in revised form 26 October 2021, Accepted 23 November 2021

 Acknowledgment 

This project is funded by the Center for Research Excellence, Incubation Management Center, Universiti Sultan Zainal Abidin, and an internal grant UniSZA/2017/DPU/74.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Mamat AR, Mohamad FS, and Mohamed MA et al. (2022). Region-based image retrieval using region of interest (ROI) according to incremental frame and clustering color image. International Journal of Advanced and Applied Sciences, 9(1): 138-147

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 

 Tables

 Table 1 Table 2 Table 3   

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