References

7. References#

1: G. Bradski. The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000.
2: John Canny. A computational approach to edge detection. IEEE Transactions on pattern analysis and machine intelligence, pages 679–698, 1986.
3: Vincent Dumoulin and Francesco Visin. A guide to convolution arithmetic for deep learning. arXiv preprint arXiv:1603.07285, 2016.
4: Ruturaj G Gavaskar and Kunal N Chaudhury. Fast adaptive bilateral filtering. IEEE Transactions on Image Processing, 28(2):779–790, 2018.
5: Thomas Huang, GJTGY Yang, and Greory Tang. A fast two-dimensional median filtering algorithm. IEEE transactions on acoustics, speech, and signal processing, 27(1):13–18, 1979.
6: Irhum Shafkat. Intuitively understanding convolutions for deep learning. https://towardsdatascience.com/intuitively-understanding-convolutions-for-deep-learning-1f6f42faee1, 2023. [Online; accessed 01-August-2023].
7: OpenCV Developers. Opencv documentation. https://docs.opencv.org/4.x/index.html, 2023. [Online; accessed 01-August-2023].
8: Python Software Foundation. Python 3.11.4 documentation. https://docs.python.org/, 2023. [Online; accessed 01-August-2023].
9: scikit-learn Developers. Scikit-learn user guide. https://scikit-learn.org/stable/user_guide.html, 2023. [Online; accessed 01-August-2023].