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Proceedings Paper

A study of extraction of petal region on flower picture using HSV color information
Author(s): Yoshio Yanagihara; Ryo Nakayama
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Paper Abstract

It is one of useful and interesting applications to discriminate the kind of the flower or recognize the name of the flower, as example of retrieving flower database. As its contour line of the petal region of flower is useful for such problems, it is important to extract the precise region of the petal of a flower picture. In this paper, the method which extracts petal regions on a flower picture using HSV color information is proposed, such to discriminate the kind of the flower. The experiments show that the proposed method can extract petal regions at the success rate of about 90%, which is thought to be satisfied. In detail, the success rates of one-colored flower, plural-colored flower, and white flower are about 98%, 85%, and 83%, respectively.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690L (10 January 2014); doi: 10.1117/12.2050198
Show Author Affiliations
Yoshio Yanagihara, Ehime Univ. (Japan)
Daikin Industries, Ltd. (Japan)
Ryo Nakayama, Ehime Univ. (Japan)
Daikin Industries, Ltd. (Japan)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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