NDLI: Hybrid local and global descriptor enhanced with colour information

Content Provider	IET Digital Library
Author	Kabbai, Leila Abdellaoui, Mehrez Douik, Ali
Abstract	Feature extraction is one of the most important steps in computer vision tasks such as object recognition, image retrieval and image classification. It describes an image by a set of descriptors where the best one gives a high quality description and a low computation. In this study, the authors propose a novel descriptor called histogram of local and global features using speeded up robust feature (SURF) descriptor (HLGSURF) based on a combination of local features obtained by computation of Bag of words of SURF and global features issued from a novel operator called upper and lower local binary pattern (ULLBP) that encodes the texture analysis associated with wavelet transform. To enhance the effectiveness of the descriptor, the authors used the colour information. To evaluate the proposed method, the authors carried out experiments in different applications such as image retrieval and image classification. The performance of the suggested descriptor was evaluated by calculating both precision and recall values using the challenging Corel and COIL-100 datasets for image retrieval. For image classification, the performance was measured by the classification rate using the challenging Corel and MIT scene datasets. The experimental results showed that the proposed descriptor outperforms the existing state of the art results.
Starting Page	109
Ending Page	117
Page Count	9
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 2, Feb (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0349
Journal	IET Image Processing
Publisher Date	2016-10-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bag-of-word Computation COIL-100 Dataset Colour Information Computer Vision Computer Vision And Image Processing Technique Computer Vision Tasks Corel Dataset Feature Extraction High-quality Description Hybrid Local-global Descriptor Image Classification Image Colour Analysis Image Recognition Image Retrieval Information Retrieval Technique Integral Transforms Local-global Feature Histogram Lower-local Binary Pattern MIT Scene Dataset Object Recognition Speeded Up Robust Feature Descriptor SURF Descriptor Texture Analysis Upper Local Binary Pattern Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feature fusion method using BoVW framework for enhancing image retrieval

Hybrid CBIR method using statistical, DWT-Entropy and POPMV-based feature sets

New strategy for CBIR by combining low-level visual features with a colour descriptor

Colour and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform

New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features

3D ear recognition using global and local features

Texture descriptor based on local combination adaptive ternary pattern

Local directional mask maximum edge patterns for image retrieval and face recognition

Object recognition using rotation invariant local binary pattern of significant bit planes

Hybrid local and global descriptor enhanced with colour information

Similar Documents

Feature fusion method using BoVW framework for enhancing image retrieval

Hybrid CBIR method using statistical, DWT-Entropy and POPMV-based feature sets

New strategy for CBIR by combining low-level visual features with a colour descriptor

Colour and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform

New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features

3D ear recognition using global and local features

Texture descriptor based on local combination adaptive ternary pattern

Local directional mask maximum edge patterns for image retrieval and face recognition

Object recognition using rotation invariant local binary pattern of significant bit planes

Hybrid local and global descriptor enhanced with colour information