Quantitative image analysis of Tintin comics
by Gea Oswah Fatah Parikesit
International Journal of Arts and Technology (IJART), Vol. 10, No. 3, 2017

Abstract: Digital image analysis is a very useful tool to perform humanities studies on various art forms, not only because it allows us to precisely quantify various parameters relevant for humanities scholars, but also because it provides us with new insights and perspectives that are not readily available from traditional qualitative methods. In this paper we demonstrate the application of this method, where we use the mean grey values and the number of edge pixels to represent the level of brightness and the level of visual details in the images, respectively, to characterise and identify various interesting properties of the images found in Tintin comics. Our results also indicate that this method can be used to characterise and identify different comics artists based on the visual patterns in their works.

Online publication date: Fri, 08-Sep-2017

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 Arts and Technology (IJART):
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