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Improved Canny Edge Detection Algorithm


Authors : Hawraa Sabah Naser

Volume/Issue : Volume 11 - 2026, Issue 9 - September


Google Scholar : https://tinyurl.com/2dy5nmbe

DOI : https://doi.org/10.38124/ijisrt/26sep1156

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Detect the edge consider as a very important part of the image processing in various fields such as recognizing objects, medical field robot vision ,etc. using improved canny technique and add a pre-processing step that help to make enhanced image to a better edge detect result ,the improved canny technique used the following step which is Gaussian smoothing, gradient calculation ,non maxing threshold and OTSU technique give more accurate result, the improved canny technique show better accuracy , noise resistance , edge continue .

References :

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  2. Daniel van zyl, thambo nyathi , nelishia pillay  ,Canny genetic programming (CGP) for edge detection.
  3. Qibao yan, Rongyu ge, Jian wang, Research on weld edge detection based on improved canny algorithm,journal of physics: conference series 3068(2025)012152.
  4. Ahmed hamid ahmed, Image Edge Detection Using Canny and Sobel Techniques,Journal of al-turath university college(JATUC) , vol: 43 no:2.2026 pp.256-274.
  5. Junfeng Jing, Shenjuan Liu, Gang Wang, et al.Recent advances on image edge detection: A comprehensive review. Neurocomputing2022; 503:259–271. doi: 10.1016/j.neucom.2022.06.083.
  6. Bin Tian, Wei Wei. Research Overview on Edge Detection Algorithms Based on Deep Learning and Image Fusion. Security and Communication Networks2022;2022:1–11. doi:10.1155/2022/1155814.
  7. G. Ravivarma, K. Gavaskar, D. Malathi, et al.Implementation of Sobel operator based image edge detection on FPGA. Materials Today: Proceedings2021;45:2401–2407. doi:10.1016/j.matpr.2020.10.825.
  8. John  Canny.  A  Computational  Approach  to  Edge  Detection. IEEE  Transactions  on  Pattern  Analysis  and Machine Intelligence1986;PAMI-8(6):679–698. doi:10.1109/TPAMI.1986.4767851
  9. Rui  Sun,  Tao  Lei,  Qi  Chen, et  al.Survey  of  Image  Edge  Detection. Frontiers  in  Signal  Processing2022;2:826967. doi:10.3389/frsip.2022.826967.
  10. Ehsan Akbari Sekehravani, Eduard Babulak, Mehdi Masoodi. Implementing canny edge detection algorithm for    noisy    image. Bulletin    of    Electrical    Engineering    and    Informatics2020;9(4):1404–1410. doi:10.11591/eei.v9i4.1837.
  11. Ravivarma, G., Gavaskar, K., Malathi, D., Asha, K.G., Ashok, B., Aarthi, S. (2021). Implementation of Sobel operator based image edge detection on FPGA. Materials Today: Proceedings, 45: 2401-2407. https://doi.org/10.1016/j.matpr.2020.10.825.
  12. Wang, Z. X., & Wang, W. (2018). The research on edge detection algorithm of lane. EURASIP Journal on Image and Video Processing, 2018: 98. https://doi.org/10.1186/s13640-018-0326-2.

Detect the edge consider as a very important part of the image processing in various fields such as recognizing objects, medical field robot vision ,etc. using improved canny technique and add a pre-processing step that help to make enhanced image to a better edge detect result ,the improved canny technique used the following step which is Gaussian smoothing, gradient calculation ,non maxing threshold and OTSU technique give more accurate result, the improved canny technique show better accuracy , noise resistance , edge continue .

Paper Submission Last Date
31 - October - 2026

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