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Unsupervised leaf segmentation in complex backgrounds using mutual information minimization

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成果类型:
期刊论文
作者:
Guo, Yijian;Sun, Kaiqiong;Luo, Gang;Wang, Meng
通讯作者:
Sun, KQ
作者机构:
[Sun, KQ; Sun, Kaiqiong; Luo, Gang; Wang, Meng; Guo, Yijian] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
通讯机构:
[Sun, KQ ] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
语种:
英文
关键词:
Leaf extraction;deep learning;unsupervised image segmentation;mutual information;VAE
期刊:
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN:
1064-1246
年:
2023
卷:
45
期:
6
页码:
10127-10139
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Leaf segmentation is crucial for plant recognition, especially for tree species identification. In natural environments, leaf segmentation can be very challenging due to the lack of prior information about leaves and the variability of backgrounds. In typical applications, supervised algorithms often require pixel-level annotation of regions, which can be labour-intensive and limited to identifying plant species using pre-labelled samples. On the other hand, traditional unsupervised image segmentation algorithms require specialised parameter tuning for leaf images to achieve optimal results. T...

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