Automatic method based on image analysis for pilling evaluation in fabrics

Hector C. Abril; Maria Sagrario Millan Garcia-Verela; Yezid M. Torres Moreno; Rafael Fonolla Navarro

doi:10.1117/1.601881

1 November 1998 Automatic method based on image analysis for pilling evaluation in fabrics

Hector C. Abril, Maria Sagrario Millan Garcia-Verela, Yezid M. Torres Moreno, Rafael Fonolla Navarro

Optical Engineering, Vol. 37, Issue 11, (November 1998). https://doi.org/10.1117/1.601881

A fully automatic method for pilling evaluation in wear-andtear fabrics is developed from the image analysis of a set of standard photographs (Zweigle KG-741 Reutlingen). The method involves operations in both the spatial and frequency domains to segment pills from the textured background of the web. It calculates the total area of pilling in the sample image and assigns a degree of pilling according to the standard. Two mathematical descriptions are analyzed according to the underlying rule established by the standard images, using the visual estimation of the area of pilling performed by a group of observers. A logarithmic (in base two) approach, which is consistent with human visual perception laws and facilitates an optimization of the method, is eventually adopted.

Citation Download Citation

Hector C. Abril, Maria Sagrario Millan Garcia-Verela, Yezid M. Torres Moreno, and Rafael Fonolla Navarro "Automatic method based on image analysis for pilling evaluation in fabrics," Optical Engineering 37(11), (1 November 1998). https://doi.org/10.1117/1.601881

Published: 1 November 1998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available