Digital Signal Processing


Non Destructive Quality Evaluation of Nicotiana Tabacum Using Off-Line Machine Vision

Authors: Latesh N. Patel, Kavindra R. Jain, Hitesh B. Shah, Chintan K. Modi

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 Chewing tobacco (Nicotiana tabacum) as well as foreign elements using machine vision. By proposed method a quality evaluation of processed chewing tobacco can be done which would be very beneficial for the purpose of its quality which is ready to be eat product.

Comments: 7 Pages.

Download: PDF

Submission history

[v1] 2012-08-18 22:04:29

Unique-IP document downloads: 209 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus