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Original Article

Enhancements and Optimization of the Canny Edge Detection Algorithm

Shantanu Bahadur Karki1
Master’s Student, Software Engineering, Nepal.

Published Online: January-April 2026

Pages: 73-77

Cite this article

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References

1. J. Canny, “A Computational Approach to Edge Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8,
no. 6, pp. 679–698, Nov. 1986, doi: 10.1109/TPAMI.1986.4767851.
2. A. Buades, B. Coll, and J.-M. Morel, “A Non-Local Algorithm for Image Denoising,” in Proc. IEEE Computer Society Conf. Computer
Vision and Pattern Recognition (CVPR), San Diego, CA, USA, 2005, vol. 2, pp. 60–65, doi: 10.1109/CVPR.2005.38.
3. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 4th ed. Hoboken, NJ, USA: Pearson, 2018.
4. C. Tomasi and R. Manduchi, “Bilateral Filtering for Gray and Color Images,” in Proc. 6th IEEE Int. Conf. Computer Vision (ICCV), Bombay,
India, 1998, pp. 839–846, doi: 10.1109/ICCV.1998.710815.
5. H. Farid and E. H. Adelson, “Separating Reflections and Lighting Using Independent Components Analysis,” J. Opt. Soc. Am. A, vol. 16,
no. 9, pp. 2136–2145, Sept. 1999, doi: 10.1364/JOSAA.16.002136.
6. P. Perona and J. Malik, “Scale-Space and Edge Detection Using Anisotropic Diffusion,” IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 12, no. 7, pp. 629–639, July 1990, doi: 10.1109/34.56205.
7. S. Paris, P. Kornprobst, J. Tumblin, and F. Durand, “Bilateral Filtering: Theory and Applications,” Foundations and Trends in Computer
Graphics and Vision, vol. 4, no. 1, pp. 1–73, 2009, doi: 10.1561/0600000020.
8. M. Heath, S. Sarkar, T. Sanocki, and K. Bowyer, “Comparison of Edge Detectors: A Methodology and Initial Study,” Computer Vision and
Image Understanding, vol. 69, no. 1, pp. 38–54, Jan. 1998, doi: 10.1006/cviu.1997.0544.
9. J. Weickert, “Anisotropic Diffusion in Image Processing,” European Mathematical Society, 1998.
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Transactions on Image Processing, vol. 13, no. 4, pp. 600–612, Apr. 2004, doi: 10.1109/TIP.2003.819861.

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