NDLI: Texture and colour region separation based image retrieval using probability annular histogram and weighted similarity matching scheme

Content Provider	IET Digital Library
Author	Pradhan, Jitesh Kumar, Sumit Pal, Arup Kumar Banka, Haider
Abstract	Content-based image retrieval (CBIR) uses primitive image features for retrieval of similar images from a dataset. Generally, researchers extract these visual features from the whole image. Therefore, the extracted features contain overlapped information of texture, colour, and shape features, and it is a critical challenge in the field of CBIR. This problem can be overcome by extracting the colour features from the colour as well as shape and texture features from the intensity dominant part only. In this study, the authors have proposed an iterative algorithm to separate colour and texture dominant part of the image into two different images. Here, a combination of edge maps and gradients has been used to achieve separate colour and texture images. Further, scale-invariant feature transform and 2D dual-tree complex wavelet transform has been realised to extract unique shape and texture features from the texture image. Simultaneously, a probability-based semantic centred annular histogram has been suggested to extract unique colour features from the colour image. Finally, a novel weighted distance-based feature comparison scheme has been proposed for similarity matching and retrieval. All the image retrieval experiments have been carried out on seven standard datasets and demonstrated significant improvements over other state-of-arts CBIR systems
Starting Page	1303
Ending Page	1315
Page Count	13
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 7, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6619
Journal	IET Image Processing
Publisher Date	2019-12-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CBIR Colour Dominant Part Colour Region Separation Based Image Retrieval Combinatorial Mathematics Computer Vision And Image Processing Technique Content-based Image Retrieval System Content-based Retrieval Database Image Edge Detection Edge Maps Feature Extraction Image Colour Analysis Image Matching Image Recognition Image Retrieval Image Retrieval Experiments Image Texture Information Retrieval Technique Integral Transforms in Numerical Analysis Intensity Dominant Part Interpolation And Function Approximation Iterative Algorithm Iterative Method Mathematics Numerical Analysis Primitive Image Visual Feature Probability Probability-based Semantic Centred Annular Histogram Query Image Retrieval Performances Scale-invariant Feature Transform Shape Feature Similarities Shape Recognition Statistics Texture Dominant Part Texture Feature Texture Image Datasets Trees Two-dimensional Dual-tree Complex Wavelet Transform Unique Colour Feature Unique Shape Feature Extraction Wavelet Transform Weighted Distance-based Feature Comparison Scheme Weighted Similarity Matching Scheme
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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