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Qualitative Sorting of Potatoes by Color Analysis in Machine Vision System

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  • Roya Hasankhani
  • Hosein Navid

Abstract

Machine vision system is a modern technique that is used for grading of wide range of agricultural crops. Objective of this research is qualitative sorting of potatoes by means of lighting chamber, Camera, frame grabber and computer for catching proper images and analysis of them by MATLAB software. 110 numbers of Agria potatoes were selected randomly and placed in same lighting conditions. The images were transferred by frame grabber to computer memory to be analyzed. The samples had been pre-graded in the same face witch were placed in lighting chamber and percentage of health class was recorded. By performing pre-processing techniques on images, the compound of HSV color space and logarithmic transformation by coefficient of 0.5 was selected. The correction coefficient of health class of pre-graded method and results of implementing algorithm was 0.989 that it was the highest. Qualitative sorting accuracy in this method was 96.54%.

Suggested Citation

  • Roya Hasankhani & Hosein Navid, 2012. "Qualitative Sorting of Potatoes by Color Analysis in Machine Vision System," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(4), pages 129-129, February.
    • Handle: RePEc:ibn:jasjnl:v:4:y:2012:i:4:p:129
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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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