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Proceedings Paper

Breadmaking factors assessed by digital imaging
Author(s): Inna Y. Zayas; James L. Steele; G. Weaver; D. E. Walker
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Paper Abstract

A study was conducted to evaluate differences in bread crumb grain using digital image analysis. The objective of this study was to develop an image texture-based model which recognized the effect of different technological factors (formulation, mixing time and water absorption) on bread crumb grain. Co-occurrence matrix evaluations of 18 image texture features from 64*64 pixel subimages within the bread slice images produced the data based used for image texture feature analysis. Shape and size features of each slice were also included in this study.

Paper Details

Date Published: 6 August 1993
PDF: 17 pages
Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150279
Show Author Affiliations
Inna Y. Zayas, USDA Grain Marketing Research Lab. (United States)
James L. Steele, USDA Grain Marketing Research Lab. (United States)
G. Weaver, USDA Grain Marketing Research Lab. (United States)
D. E. Walker, USDA Grain Marketing Research Lab. (United States)


Published in SPIE Proceedings Vol. 2064:
Machine Vision Applications, Architectures, and Systems Integration II
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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