A Methodology for Detecting/Identifying Fruit Infection with Grading System

Abstract: Computer vision techniques have applied for detecting a measuring the food quality as well as grading. Sorting of fruits and vegetables is one of the most important process in fruits production, while this process is typically performed manually in most countries. Learning methods are detected for the task of classifying infected/uninfected fruits from images for outer surface. A series of color and texture features are extracted from the captured images and principal components analysis performed to reduce the dimensionality of the resulting feature vectors.

Keywords: Fruit quality, Fruit images, Color, Texture, PCA, Pattern classification.