Title of article :
Measurement of the rennet clotting time of milk by digital image sequences (2D + t) processing Original Research Article
Author/Authors :
Gamraïkréo Djaowé، نويسنده , , Laurent Bitjoka، نويسنده , , Ousman Boukar، نويسنده , , David Gabriel Libouga، نويسنده , , Beldo Waldogo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
The aim of the work presented in this paper was to determine the rennet clotting time of milk by image sequences (2D + t) processing. A computer vision system (CVS) consisting of a computer coupled with a transmitted light microscope equipped with a digital camera was developed. Each image was decomposed into Red, Green, Blue (RGB) color components and luminance histograms, through algorithms implemented with Matlab 7.7 software. These algorithms computed and analyzed the R, G, B color components and luminance histogram peak in each image. It was shown that during milk coagulation, this histogram peak varies according to sigmoidal law Peak(t) = Peakmin + (Peakmax − Peakmin)/[1 + (t/TC)α], where TC is the rennet coagulation time.
Keywords :
Color histograms , Rennet milk coagulation , Rennet clotting time , Image sequences processing
Journal title :
Journal of Food Engineering
Journal title :
Journal of Food Engineering