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Image segmentation with pulse-coupled neural network and Canny operators

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成果类型:
期刊论文
作者:
Jiang, Wen;Zhou, Haoyu*;Shen, Yue;Liu, Bo;Fu, Zigang
通讯作者:
Zhou, Haoyu
作者机构:
[Liu, Bo; Shen, Yue; Fu, Zigang; Jiang, Wen; Zhou, Haoyu] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha, Hunan, Peoples R China.
[Jiang, Wen] Hunan Vocat Coll Sci & Technol, Sch Software, Changsha, Hunan, Peoples R China.
通讯机构:
[Zhou, Haoyu] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Canny operators;Color image;Image segmentation;Pulse-coupled neural networks
期刊:
Computers & Electrical Engineering
ISSN:
0045-7906
年:
2015
卷:
46
页码:
528-538
基金类别:
This research is supported by projects sponsored by National Key Technology R&D Program of China: Integration and Application of Rural Internet of Things Information Service System (No. 2012BAD35B07 ), and Research on General Key Technologies of Rural Internet of Things Infrastructure (No. 2012BAD35B05 ).
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
In this paper, a Canny operator-based method using PCNN (Pulse-Coupled Neural Network) is proposed for color image segmentation. The coarse location information of the salient object and the background is first estimated based on the distribution of the detected key-points. An image is then over-segmented into super-pixels and their histograms are computed. The saliency of a super-pixel is obtained according to the maximum of variance ration and Shannon entropy. Color image segmentation is implemented using PCNN based on Canny operator edge det...

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