Image analysis of coffee seeds submitted to the LERCAFE test
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Universidade Estadual de Maringá
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The aim of this experiment was to quantify the stained areas of coffee seeds submitted to the LERCAFE test using image analys is. The seeds used were of the Ca tuaí Vermelho IAC 99 and Paradise cultivars. The physiological quality of the lots was a ssessed using germination test s, moisture content and a germination speed index. The LERCAFE test was conducted using seeds without parchment immersed in a solution of 3% sodium hypochlorite for 3 hours. Color photographs (RGB) with a resolution of 5 MPx were taken of each seed. The seeds were visually eval uated, and the functions generated from the analyses of the stained and non-stained regi ons were quantified by the Matlab R2009b program. Classification models were developed based on the Fisher Linear Discriminant Function and the evaluation of the adequacy of the models confusion matrix between the vi sual references and the cl assification generated by the linear functions. The image analysis for the creati on of Fisher’s linear discriminant function in the development of classifiers for the coffee seeds submi tted to the LERCAFE test is potentially efficient; however, it remains necessary to test other discriminant functions an d quantification methodologies.
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