Chromato-structural approach toward surface defect detection in random textured images

K. Y. Song; Josef Kittler; Maria Petrou; I. Ng

doi:10.1117/12.171208

11 March 1994 Chromato-structural approach toward surface defect detection in random textured images

K. Y. Song, Josef Kittler, Maria Petrou, I. Ng

Proceedings Volume 2183, Machine Vision Applications in Industrial Inspection II; (1994) https://doi.org/10.1117/12.171208
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

Machine vision and automatic surface inspection has been an active field of research during the last few years. However, very little research has been contributed to the area of defect detection in textured images, especially for the case of random textures. In this paper, we propose a novel algorithm that uses color and texture information to solve the problem. A new color clustering scheme based on human color perception is developed. No a priori knowledge regarding the actual number of colors associated with the color image is required. With this algorithm, very promising results are obtained on defect detection in random textured images and in particular, granite images.

Citation Download Citation

K. Y. Song, Josef Kittler, Maria Petrou, and I. Ng "Chromato-structural approach toward surface defect detection in random textured images", Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); https://doi.org/10.1117/12.171208

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