Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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On-line Inspection Algorithm of Brown Rice Using Image Processing

영상처리를 이용한 현미의 온라인 품위판정 알고리즘

  • Kim, Tae-Min (Intelligent Robotics Group, NASA Ames Research Center) ;
  • Noh, Sang-Ha (Department of Biosystems Engineering, Seoul National University)
  • Received : 2010.02.22
  • Accepted : 2010.04.12
  • Published : 2010.04.25
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Abstract

An on-line algorithm that discriminates brown rice kernels on their echelon feeder using color image processing is presented for quality inspection. A rapid color image segmentation algorithm based on Bayesian clustering method was developed by means of the look-up table which was made from the significant clusters selected by experts. A robust estimation method was presented to improve the stability of color clusters. Discriminant analysis of color distributions was employed to distinguish nine types of brown rice kernels. Discrimination accuracies of the on-line discrimination algorithm were ranged from 72% to 85% for the sound, cracked, green-transparent and green-opaque, greater than 93% for colored, red, and unhulled, about 92% for white-opaque and 67% for chalky, respectively.

Keywords

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