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Edge linking and image segmentation by combining optical and digital methods

  • Jorge L. Flores
  • , Gastón A. Ayubi
  • , Julia R. Alonso
  • , Ariel Fernández
  • , J. Matías Di Martino
  • , José A. Ferrari

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We present a hybrid method for segmentation of intensity images, which combines an optical contouring technique and digital algorithms for linking edge points or image segmentation. In a first stage, the digital image to be processed is displayed in a twisted-nematic liquid-crystal display (LCD), which is placed between a polarizer-analyzer pair at 45 deg (instead of 90 deg as occurs in standard LCDs). It is not difficult to demonstrate that the proposed setup produces a resultant image with very pronounced dark contours at middle intensity. After the optical preprocessing, two different digital algorithms are applied: an edge linking algorithm (modified chain code) and a simple thresholding technique for image segmentation. The proposed procedure works well with monochromatic and color images. The method could be useful as a robust technique for segmentation of large images in real-time, which presents potential applications in medical and biological imaging.

Original languageEnglish
Pages (from-to)3260-3264
Number of pages5
JournalOptik
Volume124
Issue number18
DOIs
StatePublished - Sep 2013
Externally publishedYes

Keywords

  • Image processing and restoration
  • Optical information and image processing

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