A multi-scale 3D Otsu thresholding algorithm for medical image segmentation

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A multi-scale 3D Otsu thresholding algorithm for medical image segmentation

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作者：Yuncong Feng^a ; ^b ; ^{fengyc14@mails.jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Haiying Zhao^c ; ^{zhaohaiying@bupt.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Xiongfei Li^a ; ^b ; ^{lxf@jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Xiaoli Zhang^a ; ^b ; ^{xiaolizhang1987@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hongpeng Li^d ; ^{hongpengli1991@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae
关键词：Image segmentation ; 3D Otsu thresholding ; Multi-scale image representation ; Local Laplacian filtering
刊名：Digital Signal Processing
出版年：2017
出版时间：January 2017
年：2017
卷：60
期：Complete
页码：186-199
全文大小：2789 K

文摘

•: An efficient 3D Otsu segmentation algorithm is proposed based on dimension decomposition.
•: Images are smoothed interactively using a fast local Laplacian filter to reduce the influence of noises and weak edges.
•: A rule for fusing segmentation maps is designed.

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