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Multi-Level Thresholding Image Segmentation Based on Improved Slime Mould Algorithm and Symmetric Cross-Entropy

Multi-level thresholding image segmentation divides an image into multiple regions of interest and is a key step in image processing and image analysis. Aiming toward the problems of the low segmentation accuracy and slow convergence speed of traditional multi-level threshold image segmentation meth...

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Detalles Bibliográficos
Principais autores: Yuanyuan Jiang, Dong Zhang, Wenchang Zhu, Li Wang
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2023-01-01
Series:Entropy
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Acceso en liña:https://www.mdpi.com/1099-4300/25/1/178
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