---
_id: '5839'
abstract:
- lang: eng
  text: "Canny's edge detection algorithm is a classical and robust method for edge
    detection in gray-scale images. The two \r\nsignificant features of this method
    are introduction of NMS (Non-Maximum Suppression) and double thresholding of \r\nthe
    \ gradient  image.  Due  to  poor  illumination,  the  region  boundaries  in
    \ an  image  may  become  vague,  creating  \r\nuncertainties  in  the  gradient
    \ image.  In  this  paper,  we  have  proposed  an  algorithm  based  on  the
    \ concept  of  type-2  fuzzy  sets  to  handle  uncertainties  that  automatically
    \ selects  the  threshold  values  needed  to  segment  the  gradient image using
    classical Canny’s edge detection algorithm. The results show that our algorithm
    works significantly well on different benchmark images as well as medical images
    (hand radiography images). "
author:
- first_name: Ranita
  full_name: Biswas, Ranita
  id: 3C2B033E-F248-11E8-B48F-1D18A9856A87
  last_name: Biswas
  orcid: 0000-0002-5372-7890
- first_name: Jaya
  full_name: Sil, Jaya
  last_name: Sil
citation:
  ama: Biswas R, Sil J. An Improved Canny Edge Detection Algorithm Based on Type-2
    Fuzzy Sets. <i>Procedia Technology</i>. 2012;4:820-824. doi:<a href="https://doi.org/10.1016/j.protcy.2012.05.134">10.1016/j.protcy.2012.05.134</a>
  apa: Biswas, R., &#38; Sil, J. (2012). An Improved Canny Edge Detection Algorithm
    Based on Type-2 Fuzzy Sets. <i>Procedia Technology</i>. Elsevier. <a href="https://doi.org/10.1016/j.protcy.2012.05.134">https://doi.org/10.1016/j.protcy.2012.05.134</a>
  chicago: Biswas, Ranita, and Jaya Sil. “An Improved Canny Edge Detection Algorithm
    Based on Type-2 Fuzzy Sets.” <i>Procedia Technology</i>. Elsevier, 2012. <a href="https://doi.org/10.1016/j.protcy.2012.05.134">https://doi.org/10.1016/j.protcy.2012.05.134</a>.
  ieee: R. Biswas and J. Sil, “An Improved Canny Edge Detection Algorithm Based on
    Type-2 Fuzzy Sets,” <i>Procedia Technology</i>, vol. 4. Elsevier, pp. 820–824,
    2012.
  ista: Biswas R, Sil J. 2012. An Improved Canny Edge Detection Algorithm Based on
    Type-2 Fuzzy Sets. Procedia Technology. 4, 820–824.
  mla: Biswas, Ranita, and Jaya Sil. “An Improved Canny Edge Detection Algorithm Based
    on Type-2 Fuzzy Sets.” <i>Procedia Technology</i>, vol. 4, Elsevier, 2012, pp.
    820–24, doi:<a href="https://doi.org/10.1016/j.protcy.2012.05.134">10.1016/j.protcy.2012.05.134</a>.
  short: R. Biswas, J. Sil, Procedia Technology 4 (2012) 820–824.
date_created: 2019-01-17T11:54:21Z
date_published: 2012-05-01T00:00:00Z
date_updated: 2021-01-12T08:03:43Z
day: '01'
ddc:
- '000'
doi: 10.1016/j.protcy.2012.05.134
extern: '1'
file:
- access_level: open_access
  checksum: ba0185986b151d8c11201f48cd505ceb
  content_type: application/pdf
  creator: dernst
  date_created: 2019-01-21T07:28:06Z
  date_updated: 2020-07-14T12:47:12Z
  file_id: '5863'
  file_name: 2012_Procedia_Biswas.pdf
  file_size: 305426
  relation: main_file
file_date_updated: 2020-07-14T12:47:12Z
has_accepted_license: '1'
intvolume: '         4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 820-824
publication: Procedia Technology
publication_identifier:
  issn:
  - 2212-0173
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: An Improved Canny Edge Detection Algorithm Based on Type-2 Fuzzy Sets
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2012'
...