A texture-based approach for content based image retrieval system for plant leaves images

Citation

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).

Abstract

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%.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/CSPA.2011.5759833
Publisher:	IEEE
Keywords:	Content based image retrieval; Discrete wavelet transformation; Texture retrieval
Depositing User:	Nabilah Mustapa
Date Deposited:	02 Jul 2019 07:59
Last Modified:	02 Jul 2019 07:59
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CSPA.2011.5759833
URI:	http://psasir.upm.edu.my/id/eprint/69328
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