Unsupervised Bayesian method for colour matching of product packaging
by Zhibing Liu; Han Liu
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 36, No. 5/6, 2022

Abstract: There are some problems in the traditional colour matching methods of product packaging, such as high accuracy of colour matching and long consumption time. This paper proposes a colour matching method of product packaging based on unsupervised Bayes. First, the distance threshold between different colours of product packaging was obtained. Second, the colour features were extracted by sparse representation method, and the colour features were preprocessed by fuzzy c-means clustering. Third, the colour of product outer packaging is sorted according to the proportion to realise the quantification of product outer packaging colour. Then, the colour matching parameters of product packaging are determined by Dirichlet distribution in unsupervised Bayesian. Finally, the optimal colour matching scheme is determined by introducing multiple beta functions. The importance weight of matching scheme is modified by approximate posterior probability to complete the matching. The results show that the minimum error of the proposed method is about 0.5%.

Online publication date: Thu, 02-Feb-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com