“A STUDY THE EDGE DETECTION USING ACO AND HYBRID IMPLEMENTATIONS OF SOBEL AND CANNY”
Keywords:
ACO, Sobel, Canny, Edge Detection, MSE, PSNRAbstract
The process of detecting edges in an image is essential to many areas of computer vision & image processing, such as object
recognition and scene analysis. This research proposes a new method for detecting edges by utilizing a hybrid version of the Sobel & Canny algorithms with Ant Colony Optimization (ACO).
References
Ahmed, A. S. (2018). Comparative study among Sobel, Prewitt and Canny edge detection operators used in image processing. J. Theor. Appl. Inf. Technol, 96(19), 6517-6525.
Baterina, A. V., & Oppus, C. (2010). Image edge detection using ant colony optimization. Wseas transactions on signal processing, 6(2), 58-67.
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Published
2024-12-10
How to Cite
Mrs. Tejashree Shinde, Dr. Manish Shrivastava. (2024). “A STUDY THE EDGE DETECTION USING ACO AND HYBRID IMPLEMENTATIONS OF SOBEL AND CANNY” . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2906–2912. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2296
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