Regresar

Artificial Vision Techniques to Optimize Strawberrys Industrial Classification

Abstract:

This research presents novel artificial vision techniques applied to the detection of features for strawberries used in the food industry. For this purpose, a computer vision system based in arti#64257;cial neural networks is used, organized as a deep architecture and trained with noise compensated learning. This combination originates a strong network-object relations which makes possible the recognition of complex strawberry features under changing conditions of lightning, size and orientation. The programming uses OpenCV libraries and fruits databases captured with a webcam. The images used to train the Articial Neural Network are dened with canny edge detection and a moving region of interest (ROI). After training, the network recognizes important features such as shape, color and anomalies. The system has been tested in real time with real images.