Abstract
In various studies on pattern recognition using image analysis, many researchers used gray-level co-occurrence matrix (GLCM) texture analysis. In this study, a colour-based texture analysis software was developed based on colour co-occurrence matrix (CCM) to be applied as bio-product sensing. CCM involves various colour space i.e. RGB, gray, HSV, HSL, Lab, Luv, LCH, XYZ, CMY and CMYK. The CCM texture analysis software has been tested successfully in four cases of bio-product sensing i.e. instant gatotqualityclassification; coffee type classification; tofu quality classification; and tempequalityclassification. The results obtained showed that CCM texture analysis software has a good performance to be implemented for biosensing.
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CITATION STYLE
Hendrawan, Y., Fauzi, M. R., Khoirunnisa, N. S., Andreane, M., Hartianti, P. O., Halim, T. D., & Umam, C. (2019). Development of colour co-occurrence matrix (CCM) texture analysis for biosensing. In IOP Conference Series: Earth and Environmental Science (Vol. 230). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/230/1/012022
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