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Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space

Scholars have been fascinated in the areas of the description and representation of fish species images so the Content-based Image Retrieval is adopted. Proposals have been made to use various techniques like the fusion of Zernike Moments (ZM) and Local Directional Pattern (LDP) to obtain good i...

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Main Authors: Osman, Noorul Shuhadah, Mustaffa, Mas Rina, C. Doraisamy, Shyamala, Madzin, Hizmawati
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81027/1/Content-based%20image%20retrieval%20for%20fish%20based%20on%20extended%20zernike%20moments-local%20directional%20pattern-hue%20color%20space.pdf
http://psasir.upm.edu.my/id/eprint/81027/
https://www.ijitee.org
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spelling my.upm.eprints.810272020-10-14T19:29:52Z http://psasir.upm.edu.my/id/eprint/81027/ Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space Osman, Noorul Shuhadah Mustaffa, Mas Rina C. Doraisamy, Shyamala Madzin, Hizmawati Scholars have been fascinated in the areas of the description and representation of fish species images so the Content-based Image Retrieval is adopted. Proposals have been made to use various techniques like the fusion of Zernike Moments (ZM) and Local Directional Pattern (LDP) to obtain good image representation and description results for feature extraction. To elaborate, ZM is characteristically rotation invariant and it is very robust in the extraction of the global shape feature and the LDP serves as the texture and local shape feature extractors. Nevertheless, extant studies on ZM-LDP fusion are only adopted for gray-level. The role of color is substantial for the fish. The proposal is that the ZM-LDP method is improved so that it can bring out the color features for the fishdomain effectively. By computing the LDP on the Hue plane of the HSV color space of the image, the color information is obtained. Improved ZM-LDP fusion to be able to obtain color information (Extended Zernike Moments-Local Directional Pattern-Hue Color Space) is experimented on Fish4Knowledge (natural image) dataset consists of 27370 images and able to achieve Mean Average Precision of 77.62%. Based on the experimental results, it is shown that the proposed method has successfully achieved higher accuracy compared to other comparable methods. A statistical comparison based on the Twotailed paired t-test was carried out and has proven that the retrieval performance of the proposed method is improved. Blue Eyes Intelligence Engineering & Sciences Publication 2019-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81027/1/Content-based%20image%20retrieval%20for%20fish%20based%20on%20extended%20zernike%20moments-local%20directional%20pattern-hue%20color%20space.pdf Osman, Noorul Shuhadah and Mustaffa, Mas Rina and C. Doraisamy, Shyamala and Madzin, Hizmawati (2019) Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space. International Journal of Innovative Technology and Exploring Engineering, 8 (8S). pp. 173-183. ISSN 2278-3075 https://www.ijitee.org
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Scholars have been fascinated in the areas of the description and representation of fish species images so the Content-based Image Retrieval is adopted. Proposals have been made to use various techniques like the fusion of Zernike Moments (ZM) and Local Directional Pattern (LDP) to obtain good image representation and description results for feature extraction. To elaborate, ZM is characteristically rotation invariant and it is very robust in the extraction of the global shape feature and the LDP serves as the texture and local shape feature extractors. Nevertheless, extant studies on ZM-LDP fusion are only adopted for gray-level. The role of color is substantial for the fish. The proposal is that the ZM-LDP method is improved so that it can bring out the color features for the fishdomain effectively. By computing the LDP on the Hue plane of the HSV color space of the image, the color information is obtained. Improved ZM-LDP fusion to be able to obtain color information (Extended Zernike Moments-Local Directional Pattern-Hue Color Space) is experimented on Fish4Knowledge (natural image) dataset consists of 27370 images and able to achieve Mean Average Precision of 77.62%. Based on the experimental results, it is shown that the proposed method has successfully achieved higher accuracy compared to other comparable methods. A statistical comparison based on the Twotailed paired t-test was carried out and has proven that the retrieval performance of the proposed method is improved.
format Article
author Osman, Noorul Shuhadah
Mustaffa, Mas Rina
C. Doraisamy, Shyamala
Madzin, Hizmawati
spellingShingle Osman, Noorul Shuhadah
Mustaffa, Mas Rina
C. Doraisamy, Shyamala
Madzin, Hizmawati
Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
author_facet Osman, Noorul Shuhadah
Mustaffa, Mas Rina
C. Doraisamy, Shyamala
Madzin, Hizmawati
author_sort Osman, Noorul Shuhadah
title Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
title_short Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
title_full Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
title_fullStr Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
title_full_unstemmed Content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
title_sort content-based image retrieval for fish based on extended zernike moments-local directional pattern-hue color space
publisher Blue Eyes Intelligence Engineering & Sciences Publication
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81027/1/Content-based%20image%20retrieval%20for%20fish%20based%20on%20extended%20zernike%20moments-local%20directional%20pattern-hue%20color%20space.pdf
http://psasir.upm.edu.my/id/eprint/81027/
https://www.ijitee.org
_version_ 1681490841946816512
score 13.222552

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