Orchid identification based on computer vision analysis
Authors
Thanaban Tathawee
Surisak Prasarnpun
Anantachai Suwannakom
Somjat Onbua
Thirayu Pinthong
Abstract
The highly variation of Orchidaceae troubled to identify on plant. This research propose to develop technology of computer image processing to identify four species of orchid from four genus. The identification by comparison the illumination of color appeared on orchid flower images of each wavelength from computer imaging analysis software were developed. This results indicated the illumination on continuous visible light (λ = 400 - 700 nm) had more efficiency to clearly identify four orchids, but on non-continuous wavelength, blue color (λ = 475 nm) had the best efficiency to identify four orchid.
