Breadmaking factors assessed by digital imaging

Inna Y. Zayas; James L. Steele; G. Weaver; D. E. Walker

doi:10.1117/12.150279

6 August 1993 Breadmaking factors assessed by digital imaging

Inna Y. Zayas, James L. Steele, G. Weaver, D. E. Walker

Author Affiliations +

Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993) https://doi.org/10.1117/12.150279
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

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Inna Y. Zayas, James L. Steele, G. Weaver, and D. E. Walker "Breadmaking factors assessed by digital imaging", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); https://doi.org/10.1117/12.150279

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