DocumentCode
73186
Title
Mobile-based flower species recognition in the natural environment
Author
Hyo-Haeng Lee ; Jung-Hyun Kim ; Kwang-Seok Hong
Author_Institution
Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
Volume
51
Issue
11
fYear
2015
fDate
5 28 2015
Firstpage
826
Lastpage
828
Abstract
A system design and new method for recognising a flower´s species in a natural environment are proposed. An experimental analysis is conducted to improve the optimal method of feature extraction that is developed for the colour, texture and shape. These results showed that the colour (HS, CbCrCg and RGB), texture (grey level co-occurrence matrix) and shape (zero crossing rate) features for pictures of flowers were the most effective. The study develops flower image recognition technology that can be utilised in a mobile environment.
Keywords
biology computing; feature extraction; image colour analysis; image texture; mobile computing; shape recognition; GLCM; colour feature; flower image recognition technology; grey level cooccurrence matrix; mobile environment; mobile-based flower species recognition; natural environment; optimal feature extraction method; shape feature; texture feature; zero crossing rate feature;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2015.0589
Filename
7110782
Link To Document