Edge-detection method using binary morphology on hexagonal images

K. Mostafa*, J. Y. Chiang, I. Her

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


This paper proposes a new edge-detection and noise-removal method for hexagonally sampled images by using binary morphology edge detection on hexagonally sampled images. This is achieved by applying binary morphological operators on hexagonal images. This approach presents a framework for conversion of hexagonally sampled images and processing to detect edges on a hexagonal grid. The proposed study shows that a method combining horizontal, 60u and 120u directional hexagonal structuring elements achieves results superior to those of a rectangular image. The experimental results showed that the proposed method was more efficient for binary hexagonal image edge detection and noise removal than the commonly used rectangular image.

Original languageEnglish
Pages (from-to)168-173
Number of pages6
JournalImaging Science Journal
Issue number3
Publication statusPublished - 1 Mar 2015
Externally publishedYes


  • Binary morphology
  • Edge detection
  • Hexagonal grid
  • Noise removal


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