| 摘要 |
A method of classifying plant embryos according to their quality based on a general form of Lorenz-Bayes classifier is disclosed. First, image or spectr al data of plant embryos of known quality are acquired, and the data are divided into two classes according to the embryos' known quality. Second, metrics are calculated from the acquired image or spectral data in each class. Third, multi-dimensional histograms of multiple metrics are prepared for both classes. Fourth, the difference or so me other measure of comparison between the two multi-dimensional histograms is obtained. Fifth, image or spectral data of a plant embryo of unknown quality are obtained and metrics are calculated therefrom. Sixth, the embryo of unknown quality is assigned to a class based on its calculated metrics and the result of the comparison as calculated in the fourth step above.
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