An Adaptive Threshold for the Canny Algorithm With Deep Reinforcement Learning

The Canny algorithm is widely used for edge detection. It requires the adjustment of parameters to obtain a high-quality edge image. Several methods can select them automatically, but they cannot cover the diverse variations on an image. In the Canny algorithm, we need to set values of three paramet...

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Autores principales: Keong-Hun Choi, Jong-Eun Ha
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/9523fb1722094894875e95f4a04e927e
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