Computer Vision Based System for Quality Separation of Fresh Market Tomatoes
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TL;DR
Anachine vision based inspection scheme for tomatoes which involves the analysis of stem and blossom end views for features indicative of fresh market quality and the flexibility of this package in implementing various grading schemes according to the needs of the marketplace is demonstrated.
Abstract
ABSTRACT Amachine vision based inspection scheme has been developed for tomatoes which involves the analysis of stem and blossom end views for features indicative of fresh market quality. Suitable illumination and orientation techniques were designed. Evaluation of the complete tomato sorting system showed an error rate of 3.5%. Further studies demonstrated the flexibility of this package in implementing various grading schemes according to the needs of the marketplace. The feasibility of obtaining the sorting speeds required for commercial application was explored.