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Developmemt of a low-cost fruite classification system based on Digital images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(6), pp.155-162
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Koo Min Jeong 1 황동국 2 이우람 2 Jae-Hong Kim 1 Seo Jeong-Man 3

1영동대학교
2충북대학교
3한국재활복지대학

Accredited

ABSTRACT

The quality of the fruits is measured by a lot of parameters. The grader of the fruits to measure the size of them is using the rotation drum method. Therefore when we classify the size of the fruits, they will be damaged. Also the optical grader used for estimating the degree of the saccharinity will incur high cost for it. In the proposed system, to select the characteristics of the fruits, three cameras are used. Because the information such as the volume and the degree of the maturity is used to classify the fruits, the degree of the saccharinity can't be estimated itself, but the information such as the color and the damage of the fruits can be estimated. Therefore, because we don't need the digital image with high resolution, we can develop the grader system of the fruit with low cost. To evaluate the performance of the proposed system, we compared it with the sight estimation and then we classified the sample. The result shows the accuracy of 96.7%.

Citation status

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