乾海苔のあいまい画像計測データと多変量分析による等級鑑別(<特集>ファジィ画像情報処理)

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Grading of dried seaweed by subjective sense inspection of an expert(an inspector of grade) generally includes fuzziness or ambiguity. Although our final purpose would develop an automatic grading machine of dried seaweed, this paper aims to get fundamental knowledge on how to objectively discriminate the grade of dried seaweed as a first stage. In order to know features of graded dried seaweed, first, the statistics has been taken in terms of X, Y, Z of CIE three stimulus' values and normal reflection rate R obtained from image processing equipments and so on. As results of Investigating the relation between the grade and the fundamental statistics, an average of X(color tone), an average of Y(brightness), standard deviations of X and Y have been proved to increase with a lowering of seaweed's grade. On the other hand, a normal reflection rate(gloss) has a tendency to decrease with a lowering of grade. Next, the principal component analysis which is one of the multivariate analysis was carried out so as to examine the features of discrimination by the expert again. As a result, it was shown that ranking of dried seaweed by gains of principal components has a good agreement with grading of sense inspection by the expert. Moreover, after making the criterion of each grade by discrimination analysis of Mahalanobis' generalized distance, by using test samples for verification we inspected them to be belong to which grade. As a result, the comparatively good discrimination was obtained.
日本知能情報ファジィ学会の論文
1994-10-15

乾海苔のあいまい画像計測データと多変量分析による等級鑑別(<特集>ファジィ画像情報処理)

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