研究简报

A Hotelling TransformBased Algorithm for Rice Grain Type Detection with Color Images

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  • 1 College of Engineering, Nanjing Agricultural University, Nanjing 210031, China; 2 Grain and Oil Quality Monitoring Institute of Grain Bureau of Jiangsu Province, Nanjing 210011, China; *Corresponding author, E-mail: wmding@jlonline.com

Received date: 1900-01-01

  Revised date: 1900-01-01

  Online published: 2010-05-10

Abstract

An algorithm for rice grain type detection using color image segmentation and the Hotelling transform was proposed. The rice grain images were segmented in I1 band(the average of red, green and blue color bands) chosen from seven color bands according to quantitative analysis of segmentation performance. The coordinate vector of segmented image edge was converted by the Hotelling transform. Grain size features were extracted in the new coordinate system using minimum enclosing rectangle. This algorithm was run in MATLAB 7.5.0 to count rice grain ratio. The relative error compared with manual measurement were 1.65% and 2.24%, and the running times were 0.323 s and 2.837 s per image, respectively, for this algorithm and algorithm using minimum enclosing rectangle.

Cite this article

LIU Ying-ying,DING Wei-min, CHEN Jian-wei,SHEN Ming-xia . A Hotelling TransformBased Algorithm for Rice Grain Type Detection with Color Images[J]. Chinese Journal OF Rice Science, 2010 , 24(3) : 325 -328 . DOI: 10.3969/j.issn.1001-7216.2010.03.018

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