Content-based representation for moth recognition and retrieval: a review
There are numerous of moths on the earth and their presence is useful to our life especially as life indicators. Most of the entomologists have problems to recognize moth’s species because each of them has their own color, texture and shape. The varieties of color, texture and shape of moths has inc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72117/ http://psasir.upm.edu.my/id/eprint/72117/1/Content-based%20representation%20for%20moth%20recognition%20and%20retrieval.pdf |
| _version_ | 1848857042972835840 |
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| author | Mohd Hamran, Nur Fatin Mustaffa, Mas Rina C. Doraisamy, Shyamala |
| author_facet | Mohd Hamran, Nur Fatin Mustaffa, Mas Rina C. Doraisamy, Shyamala |
| author_sort | Mohd Hamran, Nur Fatin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | There are numerous of moths on the earth and their presence is useful to our life especially as life indicators. Most of the entomologists have problems to recognize moth’s species because each of them has their own color, texture and shape. The varieties of color, texture and shape of moths has increased the researcher’s attention to improve the method in recognizing the moth’s species. This study investigates the effectiveness of Bag of Visual Words (BOVW) representation for recognizing the moth’s species. BOVW is a simple and effective representation. This representation broadly used especially in computer vision and object recognition. Local descriptors, clustering approaches, and word-image histograms in regards to BOVW for image classification and retrieval are studied. There is a contradiction between BOVW models about spatial information. The extension of BOVW to consider the spatial information is believed able to contribute to a more effective representation for moth recognition and retrieval. |
| first_indexed | 2025-11-15T11:51:16Z |
| format | Article |
| id | upm-72117 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:51:16Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-721172020-03-02T05:53:53Z http://psasir.upm.edu.my/id/eprint/72117/ Content-based representation for moth recognition and retrieval: a review Mohd Hamran, Nur Fatin Mustaffa, Mas Rina C. Doraisamy, Shyamala There are numerous of moths on the earth and their presence is useful to our life especially as life indicators. Most of the entomologists have problems to recognize moth’s species because each of them has their own color, texture and shape. The varieties of color, texture and shape of moths has increased the researcher’s attention to improve the method in recognizing the moth’s species. This study investigates the effectiveness of Bag of Visual Words (BOVW) representation for recognizing the moth’s species. BOVW is a simple and effective representation. This representation broadly used especially in computer vision and object recognition. Local descriptors, clustering approaches, and word-image histograms in regards to BOVW for image classification and retrieval are studied. There is a contradiction between BOVW models about spatial information. The extension of BOVW to consider the spatial information is believed able to contribute to a more effective representation for moth recognition and retrieval. Science Publishing Corporation 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72117/1/Content-based%20representation%20for%20moth%20recognition%20and%20retrieval.pdf Mohd Hamran, Nur Fatin and Mustaffa, Mas Rina and C. Doraisamy, Shyamala (2018) Content-based representation for moth recognition and retrieval: a review. International Journal of Engineering and Technology, 7 (4 spec. 38). art. no. 27909. 1493 - 1495. ISSN 2227-5258; ESSN: 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/27909 10.14419/ijet.v7i4.38.27909 |
| spellingShingle | Mohd Hamran, Nur Fatin Mustaffa, Mas Rina C. Doraisamy, Shyamala Content-based representation for moth recognition and retrieval: a review |
| title | Content-based representation for moth recognition and retrieval: a review |
| title_full | Content-based representation for moth recognition and retrieval: a review |
| title_fullStr | Content-based representation for moth recognition and retrieval: a review |
| title_full_unstemmed | Content-based representation for moth recognition and retrieval: a review |
| title_short | Content-based representation for moth recognition and retrieval: a review |
| title_sort | content-based representation for moth recognition and retrieval: a review |
| url | http://psasir.upm.edu.my/id/eprint/72117/ http://psasir.upm.edu.my/id/eprint/72117/ http://psasir.upm.edu.my/id/eprint/72117/ http://psasir.upm.edu.my/id/eprint/72117/1/Content-based%20representation%20for%20moth%20recognition%20and%20retrieval.pdf |