ABSTRACT. The aim of this experiment was to quantify the stained areas of coffee seeds submitted to the LERCAFE test using image analysis. The seeds used were of the Catuaí Vermelho IAC 99 and Paradise cultivars. The physiological quality of the lots was assessed using germination tests, 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 evaluated, and the functions generated from the analyses of the stained and non-stained regions 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 visual references and the classification generated by the linear functions. The image analysis for the creation of Fisher's linear discriminant function in the development of classifiers for the coffee seeds submitted to the LERCAFE test is potentially efficient; however, it remains necessary to test other discriminant functions and quantification methodologies.Keywords: determinants functions, sodium hypochlorite, pixels. Análise de imagens de sementes de café submetidas ao Teste LERCAFÉRESUMO. Objetivou-se com essa pesquisa quantificar as áreas coradas de sementes de café submetidas ao teste LERCAFÉ por meio da análise de imagens. Foram utilizadas sementes das cultivares Catuaí Vermelho IAC 99 e Paraíso. Foi realizada a caracterização da qualidade fisiológica dos lotes com os testes de germinação, umidade e índice de velocidade de germinação. O teste LERCAFÉ foi conduzido utilizando semente sem o pergaminho com solução de hipoclorito de sódio 3% pelo período de 3 horas. Foram feitas fotografias coloridas (RGB) com resolução de 5 MPx de cada semente. As sementes foram avaliadas visualmente e por funções geradas a partir da análise de regiões coradas e não coradas quantificadas pelo programa Matlab R2009b. Foram desenvolvidos modelos de classificação com base na Função Linear de Fisher e avaliação da adequação dos modelos pela Matriz de Confusão entre as referências visuais e classificação gerada pelas funções lineares. A análise de imagem para criação da função discriminante linear de Fisher no desenvolvimento de classificadores para sementes de café submetidas ao teste LERCAFÉ é potencialmente eficiente sendo necessário testar outras funções discriminantes e metodologias para quantificação.Palavras-chave: funções determinantes, hipoclorito de sódio, pixels.

The current system of seeds production is highly mechanized and these operations can contribute to losses in quality due the incidence of mechanical damages. The objective in this work was to study the effect of the chemical treatment and the storage on quality of maize seeds with mechanical damages. The seeds used were individually analyzed through X-ray test for the obtainment of three lots; 1-seeds without separation, 2-seeds without mechanical damages and 3-seeds with mechanical damages. The lots were evaluated according the physiological quality, sanity and enzymatic analyzes before and after the chemical treatment with the insecticide Maxim Advanced® and the fungicide Cruiser® and also after 90 days of storage. The chemical treatment of maize seeds is efficient in the control of pathogens, like Fusarium sp. The performance of seeds with internal and external damages can be maintained for 90 days when treated with fungicides and insecticides and stored in environment conditions. The isoenzymatic patterns of catalase (CAT), superoxide dismutase (SOD), malate dehydrogenase (MDH) and alcohol dehydrogenase (ADH), confirmed the higher deterioration of non-treated seeds during the storage. The mechanical damages found in seeds contribute to the reduction of viability and vigor of maize seeds.

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