Application of global thresholding in bread porosity evaluation Atanaska D. Bosakova-Ardenska1
The white bread is one of most popular food in Bulgaria. Its quality is defined by standards and control is also standardized. The white bread has four groups of quality parameters - organoleptic, physicochemical, chemical contaminants and microbiological. This paper presents one research over white bread porosity which is one of physicochemicalparameters. By standard evaluation of bread porosity is time expensive procedure. Current research proposes one fast computer based approach for white bread porosity evaluation. In experiments are used three brands white breads. The images of breads are binarized with four known algorithms and coefficient of diversity (ratio of white pixels and all image pixels) for resulting binary images is calculated. This coefficient corresponds with bread porosity.Experimental results show that one of these algorithms Vector Median Thresholding, is appropriate for bread porosity evaluation.
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[1] Approved Standard "BULGARIA" - 02/2011 - Bread "White", Ministry of Agriculture and Food, Sofia, 2011 (in Bulgarian)[2] Gonzalez R., R. Woods, Digital image processing (second edition), Prentice Hall, 2002
[3] Abutaleb A., Automatic Thresholding of Gray-Level Pictures UsingTwo-Dimensional Entropy, COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING, 1989, vol. 47, Issue 1, pp 22-32
[4] C. Stauffer, W.E.L. Grimson, Adaptive background mixture models for real-time tracking, Computer Vision and Pattern Recognition, 1999
[5] Tsai, W-H, Moment-Preserving Thresholding: A New Approach, in CVGIP, vol.29, pp 377-393, 1985
[6] A. Andreeva, Hr., L. Kostadinova-Georgieva, At. Bosakova-Ardenska, Evaluation of porosity of bread by image processing, Scientific conference with international participation Food science, engineering and technologies 2013, Scientific works Volume LX, Plovdiv, 2013, pp. 1136-1139 (in Bulgarian)
[7] Otsu, N., A threshold selection method from Gray-Level Histograms, IEEE Transactions man and cybernetics, vol. smc-9, no. 1, 1979, pp. 62-66
[8] AndreevaH., A. Bosakova-Ardenska, L. Kostadinova- Georgieva, Comparison of two methods for automatic image binarization, Scientific conference Computer science and technologies, Varna, 2014, ISSN 1312-3335, pp 138-143
[9] http://www.djvu-soft.narod.ru/bookscanlib/project.htm
[10] Andreeva H., N. T. Katrandjiev, Possibilities for analysis and assessment of quality characteristics of flour-based food on the base of image processing in Matlab, Scientific conference with international participation Food science, engineering and technologies 2013, Scientific works Volume LIX, Plovdiv, 2012, pp. 680-684 (in Bulgarian)
[11] Krasteva I., L. Kostadinova-Georgieva, H. Andreeva, S. Nikolova, Calibration of laboratory machine vision system for qualitycontrol of food products, Scientific conference with international participation Food science, engineering and technologies 2013, Scientific works Volume LX, Plovdiv, 2013, pp. 1148-1152 (in Bulgarian)
[12] Petrov, G., Iliev, P., Tzvetkov, P., Comparison of global histogram methods for 2D and 3D entropy based image segmentation, In Proceedings of the 9th WSEAS International Conference on Evolutionary Computing World Scientific and Engineering Academy and Society, 2008, pp. 57-62.
- ISSN: 2147-6799
- Başlangıç: 2013
- Yayıncı: Ismail SARITAS
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Application of global thresholding in bread porosity evaluation Atanaska D. Bosakova-Ardenska1