Evaluation of Nicotiana Tabacum (FCV) Quality Using Off-Line Machine Vision

Abstract A number of techniques have been proposed in the past for automatic quality evaluations of pre–processed tobacco using image processing. Although some studies have aimed to evaluate the quality of processed tobacco. There is no automatic system that is capable of evaluating the processed tobacco. This paper proposes a new method for counting the number of normal FCV tobacco (Nicotiana tabacum) as well as foreign elements using machine vision. By proposed method a quality evaluation of processed FCV tobacco can be done which would be very beneficial for the purpose of its quality which is ready to be eat product.