NDLI: Recent review on image clustering

Content Provider	IET Digital Library
Author	Ahmed, Nasir
Abstract	In this review, image clustering problem is discussed starting from global learning based clustering approaches such as Kmeans to the recent challenges in this domain. In global learning based clustering models, cluster evaluation criteria was formulated on whole image datasets. In local learing based clustering models, local neighbourhood information in image data matrices were utilised. However, performances of local learning based clustering models may face limitations for image datasets that contain images with pose, illumination, or occlusion variations. Further, both global learning and local learning approaches were combined in clustering models. Still, image clustering performances are not significantly improved. I elaborate challenges in image clustering problem by categorising image datasets as Gaussian-like or multimodal. Clustering performances on 14 benchmark image datasets of almost all state-of-the-art clustering models are optimal only for Gaussian-like image datasets. Thus, image clustering performance has direct correlation with the distribution of image datasets. Further, by employing optimal image descriptor, clustering performances are data dependent. Almost all exiting clustering models are based on second-order statistics. Owing to which, multimode image patterns may not be effectively handled even by exploiting both local and global information in image data matrices.
Starting Page	1020
Ending Page	1032
Page Count	13
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 11, Nov (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0885
Journal	IET Image Processing
Publisher Date	2015-08-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cluster Evaluation Criteria Computer Vision And Image Processing Technique Global Learning Based Clustering Approach Global Learning Based Clustering Model Illumination Image Clustering Performance Image Clustering Problem Image Data Matrix Image Datasets Image Processing Knowledge Engineering Technique Learning Based Clustering Model Learning in AI Multimode Image Pattern Nonlinear Manifold Occlusion Optical, Image And Video Signal Processing Review Second-order Statistics
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

Image clustering using exponential discriminant analysis

Nonlinear low-rank representation on Stiefel manifolds

Approach for shadow detection and removal using machine learning techniques

2D hierarchical fuzzy clustering using kernel-based membership functions

Design of vision-based indoor positioning based on embedded system

Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association

Moving vehicle tracking based on improved tracking–learning–detection algorithm

Boosted subunits: a framework for recognising sign language from videos

Visual tracking with tree-structured appearance model for online learning

Recent review on image clustering

Similar Documents

Image clustering using exponential discriminant analysis

Nonlinear low-rank representation on Stiefel manifolds

Approach for shadow detection and removal using machine learning techniques

2D hierarchical fuzzy clustering using kernel-based membership functions

Design of vision-based indoor positioning based on embedded system

Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association

Moving vehicle tracking based on improved tracking–learning–detection algorithm

Boosted subunits: a framework for recognising sign language from videos

Visual tracking with tree-structured appearance model for online learning

Recent review on image clustering