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Rule based concave curvature segmentation for touching rice grains in binary digital images

  • D. M. Hobson
  • , R. M. Carter
  • , Y. Yan
  • University of Kent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a novel image processing algorithm that has been developed and tested for the accurate segmentation of contacting rice grains in digital images. This algorithm uses general shape properties for initial decision making, then examines concave curvature in the shape boundary to select 'split points' to draw a segmenting 'split line' between contacting grains at the point of contact. This approach offers a cautious, decisive and reliable segmentation between small sets of contacting rice grains. The algorithm has been applied to test images with success in all cases. Results for contacting rice grains are compared with shape descriptors for non-touching grains. It is found that the impact of segmentation on the shape of target grains is negligible. This algorithm is of benefit for intelligent grain analysis.

Original languageEnglish
Title of host publication2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009
Pages1685-1689
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009 - Singapore, Singapore
Duration: 5 May 20097 May 2009

Publication series

Name2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009

Conference

Conference2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009
Country/TerritorySingapore
CitySingapore
Period5/05/097/05/09

Keywords

  • Curvature
  • Image processing
  • Rice
  • Segmentation
  • Shape

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