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The selection of fruits by shape, uses mechanical equipment that, many times, damages the product, being necessary to search for alternatives of classification that avoid injuries in its tissues, which cause the decrease in its shelf life. In view of this, it becomes necessary to seek alternatives that classify the fruit by shape without damaging it, and that allows selection for the consumer market. In this sense, the objective of this study was to develop a technique for classifying oranges by shape, using optical and non-contact methods. The optical technique of Moiré by Phase-Shifting was used in oranges of the type Pêra cultivar. The equipment used was: digital photo camera, multimedia projector, matte white spray paint, plain and white background, in addition to the software ImageJ, Rising-Sun Moiré and Finge Projection. In the first moment, five images were extracted from each specimen, four with application of sinusoidal grids 90 degrees out of phase, and one with the background. The images were converted to RGB for grayscale (8 bits) to obtain vector masks and apply filters to eliminate noise, then each image was joined with the background, with the grids offset 90 degrees, generating four new images. The third step, comprised the joining of the images, generating a single image of the digital topographic model, then the model was processed in the ImageJ software, to obtain the pixel scale, to correlate a direct ratio, pixel / cm. The results proved to be quite satisfactory in the implementation of this technique for classification of oranges by shape, which allows to obtain the curvature of the fruit and its classification. However, more repetitions are needed in order to determine an appropriate correction factor in the processing of the images, in order to obtain more accurate dimensional data.

Classificação de laranjas através da técnica de moiré por phase-shifing