发明名称 METHODS FOR PROCESSING IMAGE AND/OR SPECTRAL DATA FOR ENHANCED EMBRYO CLASSIFICATION
摘要 A method is disclosed for classifying plant embryos according to their quali ty using a logistic regression model. First, sets of image or spectral data are acquired from plant embryos of known quality, respectively. Second, each of the acquired sets of image or spectral data is associated with one of multiple class labels according to the corresponding embryo's known quality. Third the sets of image or spectra l data values are filtered to provide filtered image or spectral data values. Fourt h, a classification algorithm, e.g., a logistic regression analysis is applied to the filtered data values and their corresponding class labels to develop a classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and filtered data values are derived therefrom. Sixth, the classification model is applied to the filtered data values for the plant embryo of unknown quality to classify the same.
申请公布号 CA2529112(A1) 申请公布日期 2006.06.28
申请号 CA20052529112 申请日期 2005.12.05
申请人 WEYERHAEUSER COMPANY 发明人 TOLAND, MITCHELL R.;TIMMIS, ROGER
分类号 G01N21/00;A01C1/02;G01N21/25;G01N33/483 主分类号 G01N21/00
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