Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm

doi:10.1371/journal.pone.0177666

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm
	Wang, Xingmei 2; Liu, Shu 1; Liu, Zhipeng 3
刊名	PLOS ONE
	2017-05-18
卷号	12 期号:5 页码:30
ISSN号	1932-6203
DOI	10.1371/journal.pone.0177666
英文摘要	This paper proposes a combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm to detect underwater objects in sonar images. Specifically, for the first time, the problem of inappropriate filtering degree parameter which commonly occurs in non-local spatial information and seriously affects the denoising performance in sonar images, was solved with the method utilizing a novel filtering degree parameter. Then, a quantum-inspired shuffled frog leaping algorithm based on new search mechanism (QSFLA-NSM) is proposed to precisely and quickly detect sonar images. Each frog individual is directly encoded by real numbers, which can greatly simplify the evolution process of the quantum-inspired shuffled frog leaping algorithm (QSFLA). Meanwhile, a fitness function combining intra-class difference with inter-class difference is adopted to evaluate frog positions more accurately. On this basis, recurring to an analysis of the quantum-behaved particle swarm optimization (QPSO) and the shuffled frog leaping algorithm (SFLA), a new search mechanism is developed to improve the searching ability and detection accuracy. At the same time, the time complexity is further reduced. Finally, the results of comparative experiments using the original sonar images, the UCI data sets and the benchmark functions demonstrate the effectiveness and adaptability of the proposed method.
资助项目	National Natural Science Foundation of China[41306086] ; technology innovation talent special foundation of Harbin[2014RFQXJ105] ; Fundamental Research Funds for the Central Universities[HEUCF100606] ; China Scholarship Council (CSC)[201506685079]
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	PUBLIC LIBRARY SCIENCE
WOS记录号	WOS:000401672400065
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/7228]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Xingmei
作者单位	1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China 2.Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc CAS, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xingmei,Liu, Shu,Liu, Zhipeng. Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm[J]. PLOS ONE,2017,12(5):30.
APA	Wang, Xingmei,Liu, Shu,&Liu, Zhipeng.(2017).Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm.PLOS ONE,12(5),30.
MLA	Wang, Xingmei,et al."Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm".PLOS ONE 12.5(2017):30.