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Proceedings Paper

Modified binary watershed transform for segmentation of agricultural products
Author(s): Ashit Talukder; David P. Casasent; Ha-Woon Lee; Pamela M. Keagy; Thomas F. Schatzki
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Paper 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.

Paper Details

Date Published: 14 January 1999
PDF: 12 pages
Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); doi: 10.1117/12.336912
Show Author Affiliations
Ashit Talukder, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)
Ha-Woon Lee, Carnegie Mellon Univ. (South Korea)
Pamela M. Keagy, USDA Agricultural Research Service (United States)
Thomas F. Schatzki, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 3543:
Precision Agriculture and Biological Quality
George E. Meyer; James A. DeShazer, Editor(s)

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