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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