Optimized method for segmentation of ancient mural images based on superpixel algorithm

Optimized method for segmentation of ancient mural images based on superpixel algorithm

High-precision segmentation of ancient mural images is the foundation of their digital virtual restoration. However, the complexity of the color appearance of ancient murals makes it difficult to achieve high-precision segmentation when using traditional algorithms directly. To address the current c...

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Bibliographic Details
Main Authors: Jinxing Liang, Anping Liu, Jing Zhou, Lei Xin, Zhuan Zuo, Zhen Liu, Hang Luo, Jia Chen, Xinrong Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neuroscience
Subjects:
ancient murals
image segmentation
SLIC
superpixel
density-based clustering
k-means clustering
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1031524/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1031524/full

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