Implementation of nature inspired optimization algorithms to multilevel thresholding image segmentation

dc.contributor.guide	Rajesh Kumar, P.
dc.coverage.spatial
dc.creator.researcher	Sowjanya ,Kotte.
dc.date.accessioned	2022-07-04T05:48:01Z
dc.date.available	2022-07-04T05:48:01Z
dc.date.awarded	2018
dc.date.completed	2017
dc.date.registered
dc.description.abstract	None
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xix, 159p.
dc.identifier.uri	http://hdl.handle.net/10603/390492
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Vishakhapatnam
dc.publisher.university	Andhra University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electronics and Communications
dc.subject.keyword	Multilevel Thresholding Image Segmentation- Application of Nature Inspired Optimization Algorithms-a study.
dc.subject.keyword	Multi-thresholding Based Image Segmentation and NIOAs
dc.subject.keyword	Nature Inspired Optimization Algorithms(NIOAs)- Multilevel Thresholding Image Segmentation.
dc.title	Implementation of nature inspired optimization algorithms to multilevel thresholding image segmentation
dc.title.alternative
dc.type.degree	Ph.D.