NDLI: Colour image retrieval based on the hypergraph combined with a weighted adjacent structure

Content Provider	IET Digital Library
Author	Yu, Suliang Niu, Dongmei Zhang, Liangliang Liu, Mingjun Zhao, Xiuyang
Abstract	Content-based image retrieval (CBIR) is a research hotspot. To improve the performance of a CBIR system, especially the retrieval accuracy, this work proposes a method that uses a soft hypergraph combined with a weighted adjacent structure (WAS) to retrieve images. In this method, the similarities between images are computed and a similarity matrix is constructed by a conjoined colour difference histogram and micro-structure descriptor method. Furthermore, a novel WAS and a soft hypergraph model are utilised to further improve the retrieval precision. The proposed method is compared with other methods in several datasets. Experimental results manifest the performance and robustness of this proposed method.
Starting Page	563
Ending Page	569
Page Count	7
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 5, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0566
Journal	IET Computer Vision
Publisher Date	2018-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra CBIR System Combinatorial Mathematics Computer Vision And Image Processing Technique Conjoined Colour Difference Histogram Content-based Image Retrieval Content-based Retrieval Graph Theory Image Colour Analysis Image Enhancement Image Retrieval Information Retrieval Technique Matrix Algebra Micro-structure Descriptor Method Optical, Image And Video Signal Processing Similarity Matrix Soft Hypergraph Model WAS Weighted Adjacent Structure
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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