A leaf image retrieval scheme based on partial dynamic time warping and two-level filtering

Yoon Sik Tak; Eenjun Hwang

doi:10.1109/CIT.2007.4385155

A leaf image retrieval scheme based on partial dynamic time warping and two-level filtering

Yoon Sik Tak, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Citations (Scopus)

Abstract

In this paper, we propose an efficient leaf image retrieval scheme based on its shape feature. To represent leaf shape, we first derive a distance curve from each leaf using distances between its center and the points along the contour. Next, for the storage and matching purpose, we extract a set of Fourier Coefficients (FCs) from the curve. Typically, a set of FCs fails to restore the original curve completely. In order to reduce the difference between original and restored curves, we divide whole curve into several partitions such that each partition has a small difference with the original curve. For image matching, we propose a Partial Dynamic Time Warping (PDTW) algorithm. We also propose a categorization scheme using the number of unit curves for filtering purpose. In the experiment, we show that our proposed scheme improved both efficiency and accuracy of leaf image retrieval.

Original language	English
Title of host publication	CIT 2007
Subtitle of host publication	7th IEEE International Conference on Computer and Information Technology
Pages	633-638
Number of pages	6
DOIs	https://doi.org/10.1109/CIT.2007.4385155
Publication status	Published - 2007
Event	CIT 2007: 7th IEEE International Conference on Computer and Information Technology - Aizu-Wakamatsu, Fukushima, Japan Duration: 2007 Oct 16 → 2007 Oct 19

Publication series

Name	CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Other

Other	CIT 2007: 7th IEEE International Conference on Computer and Information Technology
Country/Territory	Japan
City	Aizu-Wakamatsu, Fukushima
Period	07/10/16 → 07/10/19

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software
General Mathematics

Access to Document

10.1109/CIT.2007.4385155

Cite this

A leaf image retrieval scheme based on partial dynamic time warping and two-level filtering. / Tak, Yoon Sik; Hwang, Eenjun.
CIT 2007: 7th IEEE International Conference on Computer and Information Technology. 2007. p. 633-638 4385155 (CIT 2007: 7th IEEE International Conference on Computer and Information Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tak, YS & Hwang, E 2007, A leaf image retrieval scheme based on partial dynamic time warping and two-level filtering. in CIT 2007: 7th IEEE International Conference on Computer and Information Technology., 4385155, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, pp. 633-638, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, Aizu-Wakamatsu, Fukushima, Japan, 07/10/16. https://doi.org/10.1109/CIT.2007.4385155

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abstract = "In this paper, we propose an efficient leaf image retrieval scheme based on its shape feature. To represent leaf shape, we first derive a distance curve from each leaf using distances between its center and the points along the contour. Next, for the storage and matching purpose, we extract a set of Fourier Coefficients (FCs) from the curve. Typically, a set of FCs fails to restore the original curve completely. In order to reduce the difference between original and restored curves, we divide whole curve into several partitions such that each partition has a small difference with the original curve. For image matching, we propose a Partial Dynamic Time Warping (PDTW) algorithm. We also propose a categorization scheme using the number of unit curves for filtering purpose. In the experiment, we show that our proposed scheme improved both efficiency and accuracy of leaf image retrieval.",

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A leaf image retrieval scheme based on partial dynamic time warping and two-level filtering

Abstract

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