Image Identification Based on Shape and Color Descriptors and Its Application to Ornamental Leaf

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Kohei Arai 1 Indra Nugraha Abdullah 1 Hiroshi Okumura 1

1. Graduate School of Science and Engineering, Saga University, Saga, Japan

* Corresponding author.


Received: 5 Apr. 2013 / Revised: 22 May 2013 / Accepted: 20 Jun. 2013 / Published: 8 Aug. 2013

Index Terms

Identification, Dyadic wavelet, Zernike moments, HSV, SVM, leaf, overlapping


Human has a duty to preserve the nature, preserving the plant is one of the examples. This research has an emphasis on ornamental plant that has functionality not only as ornament but also as medicine. Although in Indonesia, in general this plant is cultivated in front of the house; only few people know about its medicinal function. Considering this easiness to obtain and its medicinal function, this plant has to be an initial treatment or option towards full chemical-based medicines. This research proposes a system which able to identify properly ornamental plant from its leaf utilizing its shape or color features. Shape descriptor represented by Dyadic Wavelet Transformation and Zernike Complex Moment, and HSV-based color histogram as color descriptor. This research provides benefit of these three methods to solve various test aspects. It was obtained 81.77% of overall average-testing performance.

Cite This Paper

Kohei Arai, Indra Nugraha Abdullah, Hiroshi Okumura"Image Identification Based on Shape and Color Descriptors and Its Application to Ornamental Leaf", IJIGSP, vol.5, no.10, pp.1-8, 2013. DOI: 10.5815/ijigsp.2013.10.01


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