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Titolo:
IMAGE-ANALYSIS ASSOCIATED WITH A FUZZY NEURAL-NETWORK AND ESTIMATION OF SHOOT LENGTH OF REGENERATED RICE CALLUS
Autore:
HONDA H; TAKIKAWA N; NOGUCHI H; HANAI T; KOBAYASHI T;
Indirizzi:
NAGOYA UNIV,GRAD SCH ENGN,DEPT BIOTECHNOL,CHIKUSA KU,FURO CHO NAGOYA AICHI 46401 JAPAN NAGOYA UNIV,GRAD SCH ENGN,DEPT BIOTECHNOL,CHIKUSA KU NAGOYA AICHI 46401 JAPAN
Titolo Testata:
Journal of fermentation and bioengineering
fascicolo: 4, volume: 84, anno: 1997,
pagine: 342 - 347
SICI:
0922-338X(1997)84:4<342:IAWAFN>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Keywords:
RICE CALLUS; IMAGE ANALYSIS; FUZZY NEURAL NETWORK; SHOOT; ACCLIMATIZATION;
Tipo documento:
Article
Natura:
Periodico
Citazioni:
14
Recensione:
Indirizzi per estratti:
Citazione:
H. Honda et al., "IMAGE-ANALYSIS ASSOCIATED WITH A FUZZY NEURAL-NETWORK AND ESTIMATION OF SHOOT LENGTH OF REGENERATED RICE CALLUS", Journal of fermentation and bioengineering, 84(4), 1997, pp. 342-347

Abstract

Regenerated rice callus with a shoot more than 2 cm in length could be transferred from a growth medium supplemented with sucrose as a carbon source to a medium without sucrose for acclimatization. Image analysis was applied for the automatic selection of regenerated rice callusfor acclimatization. When the RGB values for each pixel were input into a fuzzy neural network (FNN), the shoot, callus, and medium regionswere identified. The identification correctness of the FNN model was 95%. Using the model, a trinary image was reconstructed and thinning and the extraction of the longest path were performed for 25 images in order to predict the shoot length. The predicted lengths coincided well with the actual shoot lengths, the average error being only 1.3 mm.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/04/20 alle ore 09:58:20