Object Extraction in Cluttered Environments via a P300-Based IFCE
Joint Authors
Mao, Xiaoqian
Li, Wei
Niu, Linwei
Xian, Bin
Zeng, Ming
Chen, Genshe
He, Huidong
Zhou, Huihui
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
One of the fundamental issues for robot navigation is to extract an object of interest from an image.
The biggest challenges for extracting objects of interest are how to use a machine to model the objects in which a human is interested and extract them quickly and reliably under varying illumination conditions.
This article develops a novel method for segmenting an object of interest in a cluttered environment by combining a P300-based brain computer interface (BCI) and an improved fuzzy color extractor (IFCE).
The induced P300 potential identifies the corresponding region of interest and obtains the target of interest for the IFCE.
The classification results not only represent the human mind but also deliver the associated seed pixel and fuzzy parameters to extract the specific objects in which the human is interested.
Then, the IFCE is used to extract the corresponding objects.
The results show that the IFCE delivers better performance than the BP network or the traditional FCE.
The use of a P300-based IFCE provides a reliable solution for assisting a computer in identifying an object of interest within images taken under varying illumination intensities.
American Psychological Association (APA)
Mao, Xiaoqian& Li, Wei& He, Huidong& Xian, Bin& Zeng, Ming& Zhou, Huihui…[et al.]. 2017. Object Extraction in Cluttered Environments via a P300-Based IFCE. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1141005
Modern Language Association (MLA)
Mao, Xiaoqian…[et al.]. Object Extraction in Cluttered Environments via a P300-Based IFCE. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1141005
American Medical Association (AMA)
Mao, Xiaoqian& Li, Wei& He, Huidong& Xian, Bin& Zeng, Ming& Zhou, Huihui…[et al.]. Object Extraction in Cluttered Environments via a P300-Based IFCE. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1141005
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141005