Matlab s image processing toolbox 8

Transmission images served to evaluate the texture of stirred yogurts with regards to visual graininess. Additionally, large particles with diameter ≥0.9 mm (15 pixels) were quantified by means of image analysis according to previous studies (Nöbel et al., 2016) . Briefly, a thin layer (1.2 mm) of the yogurt sample was scratched out with a scraper and metal bar spacers on a glass plate, from which transmission images (source of light: Comic Master Tracer LED-A4, Too Marker Products Inc., Tokyo, Japan) were taken using a digital camera (8-bit grayscale; MicroPublisher 3.3 RTV, QImaging, Surrey, Canada). One image (120 × 90 mm) represented approximately 13 g of yogurt.
Particles were classified and counted using Matlab 8.3 (R2014a) and Matlab's Image Processing Toolbox 8.2 (The MathWorks Inc., Natick, MA). Particle numbers are given per 100 g of yogurt. Data were obtained from at least 10 independent images per sample.

Large particles with d ≥ 0.9 mm (15 pixels) were quantified by means of image analysis according to previous studies (Nöbel et al., 2016b) . Briefly, a thin layer (1.2 mm) of the yogurt sample was scratched out with a scraper and metal bar spacers on a glass plate from which transmission images (source of light: Comic Master Tracer LED-A4, Too Marker Products Inc., Tokyo, Japan) were taken using a digital camera (8-bit grayscale, MicroPublisher 3.3 RTV, QImaging, Surrey, Canada). One image (120 × 90 mm) represents approximately 12 g of yogurt. Particles were classified and counted using Matlab 8.3 (R2014a) and Matlab's Image Processing Toolbox 8.2 (The MathWorks Inc., Natick, MA). Particle numbers are given per 100 g of yogurt. Data were obtained from at least 12 independent images per sample.