Title :
Automatic recognition of blooming flowers
Author :
Saitoh, Takeshi ; Aoki, Kimiya ; Kaneko, Toyohisa
Author_Institution :
Toyohashi Univ. of Technol., Japan
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.
Keywords :
feature extraction; image colour analysis; natural scenes; object recognition; photography; automatic recognition; blooming flower recognition; boundary extraction rate; cost minimization; digital camera; flower recognition rate; flower region extraction; object identification; photograph; Content based retrieval; Costs; Digital cameras; Dynamic programming; Focusing; Layout; Pattern recognition; Search methods; Shape;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333997