An improved watershed algorithm and its application in image edge extraction

Xiaoyi Yang; Yu Han

doi:10.1117/12.3009466

16 October 2023 An improved watershed algorithm and its application in image edge extraction

Xiaoyi Yang, Yu Han

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128030F (2023) https://doi.org/10.1117/12.3009466
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Aiming at the fact that the watershed algorithm appears very sensitive to various noises, such as being easy to cause over segmentation, pseudo-edge, edge discontinuity, and other phenomena, the paper explores an image edge extraction algorithm with improved watershed algorithm model. This improved model adopts the morphological method to compute the optimal threshold for maximizing the separation of foreground color and background color of the image and then applies this threshold to limit the path cost function of the algorithm model to narrow the search range and improve the execution speed of the algorithm so that the edge information of the image can be extracted more clearly. Comparative experimental studies show that the edges of the images extracted by the proposed algorithm are clearer. The results show that the improved algorithm model is more suitable for edge image extraction than other algorithms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyi Yang and Yu Han "An improved watershed algorithm and its application in image edge extraction", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128030F (16 October 2023); https://doi.org/10.1117/12.3009466

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KEYWORDS

Image segmentation

Detection and tracking algorithms

Image processing algorithms and systems

Image processing

Digital image processing

Feature extraction

Design and modelling

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