A digital method for apple surface quality grading

Abstract

Computer assisted image analysis offers many important (pseudo) man-independent procedures, which can be used in combination with classical evaluation methods. This paper presents a novel approach in fruit surface quality analysis. It includes a computer program, based on contour recognition and decomposition of digital image objects according to their color scale intensity. This analysis has been performed by digital pattern recognition method (DPR), which is based on automatic color scale and object analysis of isohels contours for isolated and separated objects. As a result of this analysis, a more precise grading of the fruit surface quality can be achieved.