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An Image Processing Method for Quantifying Fiber Formation in Meat Analogs Under High Moisture Extrusion
Author(s) -
Ranasinghesagara Janaka,
Hsieh FuHung,
Yao Gang
Publication year - 2005
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.2005.tb11513.x
Subject(s) - extrusion , moisture , fiber , materials science , process engineering , image processing , computer science , computer vision , artificial intelligence , biological system , composite material , image (mathematics) , engineering , biology
ABSTRACT High moisture extrusion using twin‐screw extruders shows great promise for producing meat analog products with vegetable proteins. The resulting products have well‐defined fiber formations and resemble real meat in both visual appearance and taste sensation. Developing reliable nondestructive techniques to quantify the textural properties of extrudates is important for quality control in the manufacturing process. In this study, we developed an image‐processing technique to automatically characterize sample fiber formation using digital imaging. The algorithm is based on statistical analysis of Hough transform. This objective method can be used as a standard method for evaluating other noninvasive methods. We have compared the fiber formation indices measured using this technique and a noninvasive fluorescence polarization method and obtained a high correlation.