Performance analysis of integrated canny and fuzzy-logic based (2-by-2 cell block) edge-detection algorithms

Abdullah-Al-Nahid, Tariq M. Khan, Yinan Kong

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

Edge-detection techniques have been used for a variety of purposes. For the case of Biomedical information extraction like bone fracture detection, edge plays a vital role. An edge has been detected using different techniques and methods. Among the different techniques, Canny's method has been used since its proposal by J. Canny [1]. Canny methods contain's different steps towards the detection of the edges. Among the stages, the hysteresis linking method is complex as it needs neighbourhood data information. Retrieve this neighbourhood information increases the complexity of the algorithm. To overcome this complexity, we have introduced Fuzzy logic instead of the hysteresis Linking method for edge detection. In this paper, we have combined the Fuzzy edge-detection concept and Canny's method and analyse the performances.

Original languageEnglish
Title of host publicationProceedings - UKSim-AMSS 10th European Modelling Symposium on Computer Modelling and Simulation EMS 2016
EditorsDavid Al-Dabass, Valentina Colla, Marco Vannuci, Athanasios Pantelous
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages64-69
Number of pages6
ISBN (Electronic)9781509049714
ISBN (Print)9781509049721
DOIs
Publication statusPublished - 2016
Event10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016 - Pisa, Italy
Duration: 28 Nov 201630 Nov 2016

Other

Other10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016
CountryItaly
CityPisa
Period28/11/1630/11/16

Keywords

  • Canny Method
  • Fuzzy logic
  • Non-Maximal Suppression
  • Filter
  • Membership Function

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