Unimodal thresholding for Laplacian-based Canny-Deriche filter

S. Nashat, Azizi Abdullah, M. Z. Abdullah

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A unimodal thresholding method for the Laplacian-based Canny-Deriche edge detector featuring a double-thresholding approach and reconstruction strategy was proposed. In this method, an improved image segmentation technique derived from an image histogram was developed. The accuracy of the segmentation was compared with the Otsu, Rosin, and Canny-hysteresis techniques. It was shown that the proposed method is more robust and accurate in detecting edges, resulting in a sensitivity of consistently more than 17.1%, with a standard deviation of less than 0.087, and a figure of merit (FOM) greater than 0.787 for all images tested in this study.

Original languageEnglish
Pages (from-to)1269-1286
Number of pages18
JournalPattern Recognition Letters
Volume33
Issue number10
DOIs
Publication statusPublished - 15 Jul 2012

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Image segmentation
Hysteresis
Detectors

Keywords

  • Canny-Deriche filter
  • Edge sensitivity
  • Image segmentation
  • Laplacian edge detector
  • Thresholding
  • Unimodal histogram

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Unimodal thresholding for Laplacian-based Canny-Deriche filter. / Nashat, S.; Abdullah, Azizi; Abdullah, M. Z.

In: Pattern Recognition Letters, Vol. 33, No. 10, 15.07.2012, p. 1269-1286.

Research output: Contribution to journalArticle

Nashat, S. ; Abdullah, Azizi ; Abdullah, M. Z. / Unimodal thresholding for Laplacian-based Canny-Deriche filter. In: Pattern Recognition Letters. 2012 ; Vol. 33, No. 10. pp. 1269-1286.
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