Detection of low-contrast objects in textured images

Devesh Patel; E. R. Davies

doi:10.1117/12.206694

21 April 1995 Detection of low-contrast objects in textured images

Devesh Patel, E. R. Davies

Author Affiliations +

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206694
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

In this paper we present a method for the detection of objects that are not clearly defined by an edge within the underlying texture. The application of this method is to detect impurities or contaminants within food products. The authors have previously proposed a system that has an extremely high detection rate for a wide range of contaminants, but which needs to be further developed for the detection of low contrast contaminants. The method presented in this paper uses convolution to extract texture features from the food images to generate the texture energy images. The convolution mask coefficients are the principal components obtained from images that do not have any foreign objects. The grey levels of the resulting texture energy images are modified to eliminate the underlying noise in a consistent way across all these images. A distance map image is created using the Mahanalobis distance measure to indicate the presence of any contaminants within the food products. This paper shows that the proposed method can cope with the subtle variations between the contaminants and the food background and successfully detect the low contrast contaminants.

Citation Download Citation

Devesh Patel and E. R. Davies "Detection of low-contrast objects in textured images", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206694

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