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

  • Y. Hendrawan
  • , M. R. Fauzi
  • , N. S. Khoirunnisa
  • , M. Andreane
  • , P. O. Hartianti
  • , T. D. Halim
  • , C. Umam

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number012022
JournalIOP Conference Series: Earth and Environmental Science
Volume230
Issue number1
DOIs
Publication statusPublished - 19 Feb 2019
EventInternational Conference on Green Agro-industry and Bioeconomy 2018, ICGAB 2018 - Malang, Indonesia
Duration: 18 Sept 201820 Sept 2018

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