Modified binary watershed transform for segmentation of agricultural products

Ashit Talukder; David P. Casasent; Ha-Woon Lee; Pamela M. Keagy; Thomas F. Schatzki

doi:10.1117/12.336912

14 January 1999 Modified binary watershed transform for segmentation of agricultural products

Ashit Talukder, David P. Casasent, Ha-Woon Lee, Pamela M. Keagy, Thomas F. Schatzki

Proceedings Volume 3543, Precision Agriculture and Biological Quality; (1999) https://doi.org/10.1117/12.336912
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

Segmentation of agricultural products on a conveyor belt is a first step for product inspection. We consider a new algorithm to achieve segmentation. We use x-ray images which provide useful internal information on the state of the product. The product items considered vary in size, shape, gray-scale properties, and lie at random orientations. Many items touch and thus new techniques are necessary to detect each item at any orientation, estimate the number of touching items and their centers, and segment overlapping touching items to provide separate image filters for touching input items. Test results are presented for x-ray film and linescan images of various agricultural products including one extensive database.

Citation Download Citation

Ashit Talukder, David P. Casasent, Ha-Woon Lee, Pamela M. Keagy, and Thomas F. Schatzki "Modified binary watershed transform for segmentation of agricultural products", Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); https://doi.org/10.1117/12.336912

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