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10 January 2014 A study of extraction of petal region on flower picture using HSV color information
Yoshio Yanagihara, Ryo Nakayama
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Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90690L (2014) https://doi.org/10.1117/12.2050198
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China
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.
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Yoshio Yanagihara and Ryo Nakayama "A study of extraction of petal region on flower picture using HSV color information", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690L (10 January 2014); https://doi.org/10.1117/12.2050198
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KEYWORDS
Image processing
RGB color model
Gaussian filters
Image segmentation
Digital filtering
Feature extraction
Optical filters
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