Evaluation of Image Analysis Tools for Characterization of Sweet Bread Crumb Structure

2011 ◽  
Vol 5 (2) ◽  
pp. 474-484 ◽  
Author(s):  
Reynold R. Farrera-Rebollo ◽  
Ma. de la Paz Salgado-Cruz ◽  
Jorge Chanona-Pérez ◽  
Gustavo F. Gutiérrez-López ◽  
Liliana Alamilla-Beltrán ◽  
...  
2019 ◽  
Vol 6 ◽  
Author(s):  
Ivor D. Williams ◽  
Courtney S. Couch ◽  
Oscar Beijbom ◽  
Thomas A. Oliver ◽  
Bernardo Vargas-Angel ◽  
...  

2011 ◽  
Vol 22 (No. 4) ◽  
pp. 133-142 ◽  
Author(s):  
I. Švec ◽  
M. Hrušková

Abstract: Baking quality of flour from six wheat cultivars (harvest 2002 and 2003), belonging to the quality classes A and B, was evaluated using the fermented dough test. Analytical traits of kernel and flour showed differences between the classes which were confirmed by the baking test with the full-bread-formula according to Czech method. In addition to standard methods of the bread parameters description (specific bread volume and bread shape measurements) rheological measurements of penetrometer and image analysis were used in effort to differentiate wheat samples into the quality classes. The results of the baking test proved significant differences in specific bread volumes – the highest volume in class A was obtained with the cultivar Vinjet and in class B with SG-S1098 – approx. 410 and 420 ml/100 g. Although significant correlations among image analysis data and specific bread volume having been proved, any image analysis parameter did not distinguish the quality classes. Only the penetronetric measurements made with bread crumb were suitable for such purpose (r = 0.9083; for  = 0.01). Among image analysis data the total cell area of the crumb had the strongest correlation with specific bread volume (r = 0.7840; for α = 0.01).    


1999 ◽  
Vol 26 (1-2) ◽  
pp. 153-160 ◽  
Author(s):  
M.-N. Pons ◽  
E. M. Weisser ◽  
H. Vivier ◽  
D. V. Boger

Vacuum ◽  
2007 ◽  
Vol 82 (2) ◽  
pp. 282-285 ◽  
Author(s):  
Dušan Novotný ◽  
Rudolf Hrach ◽  
Michal Kostern

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171417 ◽  
Author(s):  
María Anguiano ◽  
Carlos Castilla ◽  
Martin Maška ◽  
Cristina Ederra ◽  
Rafael Peláez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document