Abstract Contribution treats the topic of experimental analysis of statistical properties of intensity images of red, green, blue component and grey-scale representation of color image of visualized optically transparent polymeric foil by means of schlieren method. As the subject of the analysis were corrected intensity images of RGB components and grayscale representation of color image of visualized foil. Properties of mean value and standard deviation of color components intensity levels and grayscale images for selected samples of 5 types of polymeric foils were studied. The analysis shows effect of the choice of color component. Characteristics calculated from the intensity image of blue component color image proved the best properties. Such a fact can be used in the case of defectoscopy and the foil recognition by the use of methodology of processing and statistical analysis of images visualized optical transparent polymeric foils captured by the color cameras.
[1]
A. de Juan,et al.
Multivariate image analysis: a review with applications
,
2011
.
[2]
P. Geladi,et al.
Multivariate image analysis
,
1996
.
[3]
A. Srivastava.
Development and application of color schlieren technique for investigation of three-dimensional concentration field
,
2013
.
[4]
USE OF STATISTICAL APPROACH FOR CLASSIFICATION OF VISUALIZED TRANSPARENT POLYMERIC FOILS
,
2003
.
[5]
Milan Sonka,et al.
Image pre-processing
,
1993
.
[6]
Harald Kleine.
Schlieren imaging and the real world
,
2013,
J. Vis..
[7]
THE USE OF SCHLIEREN VISUALIZATION METHOD IN THE DIAGNOSTIC OF OPTICALLY TRANSPARENT POLYMERIC FOILS
,
2007
.
[8]
Manuel Fernández Delgado,et al.
Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
,
2013,
Pattern Recognit..