Open AccessCircular Hough Transform to improve viable Saccharomyces cerevisiae identification
Author(s) -
Felipe Silveira Brito Borges,
Diogo Soares da Silva,
Lia Nara Balta Quinta,
Arnaldo Ibanhe Mongelo,
Marney Pascoli Cereda,
Hemerson Pistori
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/wvc.2021.18895
Subject(s) - preprocessor , yeast , saccharomyces cerevisiae , hough transform , fermentation , process (computing) , computer science , fastidious organism , identification (biology) , artificial intelligence , biological system , pulp and paper industry , biology , engineering , biochemistry , botany , genetics , image (mathematics) , operating system , bacteria
Yeast counting is an important step in monitoring the fermentation process in sugarcane mills to optimize ethanol production. There is a need for a faster method to count viable cells in place of the fastidious and operator-dependent traditional method. In this paper, the application of a slightly modified version of the standard Circular Hough Transforms to automate the inoculated fermentation process of Saccharomyces cerevisae is reported. The results of several experiments with different preprocessing algorithms and parameter adjustments are presented. The resulting system will be part of a microbiological control procedure that is being developed to respond to Brazilian ethanol sugarcane mill's demands.