Image processing for x-ray inspection of pistachio nuts

David P. Casasent

doi:10.1117/12.420103

28 March 2001 Image processing for x-ray inspection of pistachio nuts

David P. Casasent

Proceedings Volume 10301, Optics in Agriculture: 1990-2000: A Critical Review; 1030109 (2001) https://doi.org/10.1117/12.420103
Event: Environmental and Industrial Sensing, 2000, Boston, MA, United States

Abstract

A review is provided of image processing techniques that have been applied to the inspection of pistachio nuts using X-ray images. X-ray sensors provide non-destructive internal product detail not available from other sensors. The primary concern in this data is detecting the presence of worm infestations in nuts, since they have been linked to the presence of aflatoxin. We describe new techniques for segmentation, feature selection, selection of product categories (clusters), classifier design, etc. Specific novel results include: a new segmentation algorithm to produce images of isolated product items; preferable classifier operation (the classifier with the best probability of correct recognition Pc is not best); higher-order discrimination information is present in standard features (thus, high-order features appear useful); classifiers that use new cluster categories of samples achieve improved performance. Results are presented for X-ray images of pistachio nuts; however, all techniques have use in other product inspection applications.

Citation Download Citation

David P. Casasent "Image processing for x-ray inspection of pistachio nuts", Proc. SPIE 10301, Optics in Agriculture: 1990-2000: A Critical Review, 1030109 (28 March 2001); https://doi.org/10.1117/12.420103

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