JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY
Online ISSN : 1884-6025
Print ISSN : 0285-2543
ISSN-L : 0285-2543
Discrimination of Strawberry Shape Using Image Processing (Part 3)
Selection for feature
Osamu KINOSHITAMasateru NAGATA
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JOURNAL FREE ACCESS

1999 Volume 61 Issue 6 Pages 51-56

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Abstract

We analyzed which type of feature allowed sufficient distinction and determined whether interspecies differences could be recognized using this feature. In this research, we considered the statistical analysis method for feature selection and then tested the validity of the distinction model using the selected feature. The statistical model was found to be appropriate for selecting the most suitable feature that was species dependent. A high correlation was achieved in terms of the precision of distinction overall. It is considered that the method using statistical analysis for feature selection, at the stage of constructing a distinction model, is a useful supplementary means.

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© The Japanese Society of Agricultural Machinery
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