A texture-based approach for content based image retrieval system for plant leaves images
Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined wit...
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2011
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Online Access: | http://psasir.upm.edu.my/id/eprint/69328/1/A%20texture-based%20approach%20for%20content%20based%20image%20retrieval%20system%20for%20plant%20leaves%20images.pdf http://psasir.upm.edu.my/id/eprint/69328/ |
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my.upm.eprints.693282019-07-02T07:59:11Z http://psasir.upm.edu.my/id/eprint/69328/ A texture-based approach for content based image retrieval system for plant leaves images Hussein, Ahmed Naser Mashohor, Syamsiah Saripan, M. Iqbal Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy measurement to identify a query image to one of seven classes that consists of 280 plant leaves images. The experimental results show that the proposed method yields higher correctness retrieval accuracy rate which reaches up to 92% compared to the Gray Level Co-occurrence Matrix (GLCM) that gives 49.28%. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69328/1/A%20texture-based%20approach%20for%20content%20based%20image%20retrieval%20system%20for%20plant%20leaves%20images.pdf Hussein, Ahmed Naser and Mashohor, Syamsiah and Saripan, M. Iqbal (2011) A texture-based approach for content based image retrieval system for plant leaves images. In: 2011 IEEE 7th International Colloquium on Signal Processing and its Applications (CSPA 2011), 4-6 Mar. 2011, Penang, Malaysia. (pp. 11-14). 10.1109/CSPA.2011.5759833 |
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Image identification of plant leaves based on human vision is difficult task as well as plant identification based on keywords retrieval. It requires the domain knowledge in the botanist field. This work proposes the image texture analysis using Discrete Wavelet Transformation (DWT) and combined with an entropy measurement to identify a query image to one of seven classes that consists of 280 plant leaves images. The experimental results show that the proposed method yields higher correctness retrieval accuracy rate which reaches up to 92% compared to the Gray Level Co-occurrence Matrix (GLCM) that gives 49.28%. |
format |
Conference or Workshop Item |
author |
Hussein, Ahmed Naser Mashohor, Syamsiah Saripan, M. Iqbal |
spellingShingle |
Hussein, Ahmed Naser Mashohor, Syamsiah Saripan, M. Iqbal A texture-based approach for content based image retrieval system for plant leaves images |
author_facet |
Hussein, Ahmed Naser Mashohor, Syamsiah Saripan, M. Iqbal |
author_sort |
Hussein, Ahmed Naser |
title |
A texture-based approach for content based image retrieval system for plant leaves images |
title_short |
A texture-based approach for content based image retrieval system for plant leaves images |
title_full |
A texture-based approach for content based image retrieval system for plant leaves images |
title_fullStr |
A texture-based approach for content based image retrieval system for plant leaves images |
title_full_unstemmed |
A texture-based approach for content based image retrieval system for plant leaves images |
title_sort |
texture-based approach for content based image retrieval system for plant leaves images |
publisher |
IEEE |
publishDate |
2011 |
url |
http://psasir.upm.edu.my/id/eprint/69328/1/A%20texture-based%20approach%20for%20content%20based%20image%20retrieval%20system%20for%20plant%20leaves%20images.pdf http://psasir.upm.edu.my/id/eprint/69328/ |
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13.1944895 |