Optimization of Brazil-Nuts Classification Process through Automation using Colour Spaces in Computer Vision

Abstract

The Brazil-nuts classification is a process where the brazil-nuts that do not present damages are classified according to its size: Large, Medium, Small and Tiny, prior to its exporta- tion. The current method used for this process is a manual one, presenting several deficiencies, because it is subjective, slow and imprecise. In this sense, this study proposes the application of computa- tional vision to automate this process, considering that there is a direct relation between the weight and size of a Brazil-nut, us- ing a conversion factor and the Brazil-Nut's areas in order to estimate the weights and infer the type. The segmentation was obtained using the YCrCb colour space with a dynamic thresh- old for binarization, since the background of the images change by external factors such as illumination.The experimental re- sults show that the performance achieved by this approach is 99.7%.