NDLI: Image analysis using separable discrete moments of Charlier-Hahn

Content Provider	Springer Nature Link
Author	Sayyouri, Mhamed Hmimid, Abdeslam Qjidaa, Hassan
Copyright Year	2014
Abstract	In this paper, we present a new set of bivariate discrete orthogonal polynomials defined from the product of Charlier and Hahn discrete orthogonal polynomials with one variable. This bivriate polynomial is used to define other set of separable two-dimensional discrete orthogonal moments called Charlier-Hahn’s moments. We also propose the use of the image slice representation methodology for fast computation of Charlier-Hahn’s moments. In this approach the image is decomposed into series of non-overlapped binary slices and each slice is described by a number of homogenous rectangular blocks. Thus, the moments of Charlier-Hahn can be computed fast and easily from the blocks of each slice. A novel set of Charlier-Hahn invariant moments is also presented. These invariant moments are derived algebraically from the geometric invariant moments and their computation is accelerated using an image representation scheme. The presented approaches are tested in several well known computer vision datasets including computational time, image reconstruction, the moment’s invariability and the classification of objects. The performance of these invariant moments used as pattern features for a pattern classification is compared with Charlier, Hahn, Tchebichef-Krawtchouk, Tchebichef-Hahn and Krawtchouk-Hahn invariant moments.
Starting Page	547
Ending Page	571
Page Count	25
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	1
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-10-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bivariate polynomials Charlier-Hahn invariant moments Image reconstruction Pattern recognition Classification Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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 watermarking via separable moments

Image analysis using separable two-dimensional discrete orthogonal moments

Integration of Image Matching and Classification for Multimedia Navigation

A remote sensing image classification method based on sparse representation

Noise-invariant structure pattern for image texture classification and retrieval

Image classification based on improved VLAD

Image classification based on nearest neighbor basis vectors

SVM correction based geometrically invariant digital watermarking algorithm

High-capacity separable data hiding in encrypted image based on compressive sensing

Image analysis using separable discrete moments of Charlier-Hahn

Similar Documents

Image watermarking via separable moments

Image analysis using separable two-dimensional discrete orthogonal moments

Integration of Image Matching and Classification for Multimedia Navigation

A remote sensing image classification method based on sparse representation

Noise-invariant structure pattern for image texture classification and retrieval

Image classification based on improved VLAD

Image classification based on nearest neighbor basis vectors

SVM correction based geometrically invariant digital watermarking algorithm

High-capacity separable data hiding in encrypted image based on compressive sensing

Image analysis using separable discrete moments of Charlier-Hahn