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Application of Bio-Image Analysis for Classification of Different Ripening Stages of Banana

Author

Listed:
  • Ganesh Bora
  • Donqing Lin
  • Pritha Bhattacharya
  • Sukhwinder Bali
  • Rohit Pathak

Abstract

Image processing is one of the important and extensively used techniques for determining physical and chemical characteristics of fruits. These characteristics are used for defining the shelf-life, packaging systems, mode of transportation and storage technique. In this method, green, yellow, and ripened banana with black spots are used for identification and classification of different ripening stages of banana. Automatic threshold separation and Aphelion 3.2 version software have been used for capturing images and analyzing structures. Hue, Saturation, and Intensity were the color coordinates used for extracting information in an image size of 451 × 256 pixels. Simplified histogram analysis on different color band was carried out. Result shows green band histogram can be used for classification of various ripening stages. In blue and red band histogram, it’s difficult to differentiate stages.

Suggested Citation

  • Ganesh Bora & Donqing Lin & Pritha Bhattacharya & Sukhwinder Bali & Rohit Pathak, 2015. "Application of Bio-Image Analysis for Classification of Different Ripening Stages of Banana," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(2), pages 152-152, January.
    • Handle: RePEc:ibn:jasjnl:v:7:y:2015:i:2:p:152
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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