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Published Articles >> Table of Contents >> Abstract

17th International Conference on Pattern Recognition (ICPR'04) - Volume 1   pp. 27-30
Automatic Recognition of Blooming Flowers

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333997
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Abstract
This paper describes an automatic method for recognizing a blooming flower based on a photograph taken with a digital camera in natural scene. The problem of identifying an object against the background is known to be difficult. In this paper, we employ a photograph where the object (a blooming flower) is focused but the background is defocused. For extracting a flower region, we propose a new method that extracts a boundary by selecting a route with minimizing a sum of the local cost divided by the route length. Experiments were conducted for 600 pictures (20 pictures each for 30 species). A successful boundary extraction rate of 97% and a flower recognition rate of 90% were obtained.
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Citation:  Takeshi Saitoh, Kimiya Aoki, Toyohisa Kaneko, "Automatic Recognition of Blooming Flowers," icpr, pp. 27-30,  17th International Conference on Pattern Recognition (ICPR'04) - Volume 1,  2004

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