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Food Science and Technology

versão impressa ISSN 0101-2061versão On-line ISSN 1678-457X

Resumo

SCHEUER, Patrícia Matos et al. Optimization of image analysis techniques for quality assessment of whole-wheat breads made with fat replacer. Food Sci. Technol (Campinas) [online]. 2015, vol.35, n.1, pp.133-142. ISSN 1678-457X.  https://doi.org/10.1590/1678-457X.6560.

The cellular structure of healthy food products, with added dietary fiber and low in calories, is an important factor that contributes to the assessment of quality, which can be quantified by image analysis of visual texture. This study seeks to compare image analysis techniques (binarization using Otsu’s method and the default ImageJ algorithm, a variation of the iterative intermeans method) for quantification of differences in the crumb structure of breads made with different percentages of whole-wheat flour and fat replacer, and discuss the behavior of the parameters number of cells, mean cell area, cell density, and circularity using response surface methodology. Comparative analysis of the results achieved with the Otsu and default ImageJ algorithms showed a significant difference between the studied parameters. The Otsu method demonstrated the crumb structure of the analyzed breads more reliably than the default ImageJ algorithm, and is thus the most suitable in terms of structural representation of the crumb texture.

Palavras-chave : otsu and default algorithms; binarization; ImageJ.

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