Development of colour co-occurrence matrix (CCM) texture analysis for biosensing

International Conference on Green Agro-industry and Bioeconomy

农业科学;工业技术（总论）;经济学

Hendrawan, Y.^1 ; Fauzi, M.R.^2 ; Khoirunnisa, N.S.^1 ; Andreane, M.^1 ; Hartianti, P.O.^1 ; Halim, T.D.^1 ; Umam, C.^1

Department of Agricultural Engineering, Universitas Brawijaya, Malang, Indonesia^1

Department of Industrial Management, Graduate School of Technology Management, Institut Teknologi Sepuluh November, Surabaya, Indonesia^2

关键词: Bioproducts;    Biosensing;    Co-occurrence-matrix;    Colour spaces;    Gray level co occurrence matrix(GLCM);    Quality classification;    Texture analysis;    Type classifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/230/1/012022/pdf
DOI  :  10.1088/1755-1315/230/1/012022

来源: IOP

【 摘 要 】

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.