Image evaluation with chemometric strategies for quality control of paints.
In this study a complementary analytical methodology for quality of paints evaluation was developed. Four different primers applied to steel substrates and submitted to accelerated laboratory and outdoor exposure tests were taken into account. After this, digitalized images were obtained from these samples using a conventional scanner. The images were converted in gray color scale histograms, the resulting data were organized into a matrix form and analyzed with the help of principal component analysis (PCA) and hierarchical cluster analysis (HCA). It was possible to identify the best primers performance avoiding subjective interpretation.
Pereira
Fabíola Manhas Verbi
FM
Departamento de Química Analítica, Instituto de Química, Universidade Estadual de Campinas, P.O. Box 6154, 13084-971 Campinas, SP, Brazil. fmverbi@uol.com.br
Bueno
Maria Izabel Maretti Silveira
MI