Image analysis associated with a fuzzy neural network and estimation of shoot length of regenerated rice callus

Hiroyuki Honda, Naoto Takikawa, Hideki Noguchi, Taizo Hanai, Takeshi Kobayashi

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20 Citations (Scopus)

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 callus for acclimatization. When the RGB values for each pixel were input into a fuzzy neural network (FNN), the shoot, callus, and medium regions were 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.

Original languageEnglish
Pages (from-to)342-347
Number of pages6
JournalJournal of Fermentation and Bioengineering
Volume84
Issue number4
DOIs
Publication statusPublished - Jan 1 1997
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Applied Microbiology and Biotechnology

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