Quaternion-Type Representation for Measuring the Rennet Coagulation Time of Milk by Color Image Sequences Processing

Image Sequences Analysis, Quaternions, Color Histogram, Histogram Peak, Optical Sensor, Rennet Milk Coagulation Time

Authors

  • Gamraïkréo Djaowé National School of Agro-Industrial Sciences; Energy, Signal, Imaging and Automation Systems Laboratory (LESIA); Modelisation, Image Processing and Application (MOTRIMA) Research Group, the University of Ngaoundere, Cameroon
  • Laurent Bitjoka National School of Agro-Industrial Sciences; Energy, Signal, Imaging and Automation Systems Laboratory (LESIA); Modelisation, Image Processing and Application (MOTRIMA) Research Group, the University of Ngaoundere, Cameroon
  • Yvette Jiokap Nono Department of Chemical Engineering and Environment, IUT, the University of Ngaoundere
December 3, 2020
December 3, 2020

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The determination of the rennet coagulation time of milk by image sequences processing was performed using a computer vision system (CVS), consisting of a computer coupled with a transmitted light microscope equipped with a digital camera. Algorithms implemented with Matlab 2014 encoded the color image as a quaternion, computed and analyzed the histogram peak. The evolution of this last parameter was monitored as a function of the milk coagulation time, for different concentrations of calcium chloride (0.01–0.03 M) and for coagulation temperatures varying between 30 and 36°C. No statistically significant difference was observed in the measurements of the rennet coagulation time, neither by the Berridge method nor by the analysis of the image sequences, except for those at 36°C. The association of the optical microscopic method and the analysis of image sequences by a quaternion-type representation, made it possible to identify optical changes during gel formation and to accurately determine the rennet coagulation time of milk.