NDLI: Active contour-based clutter defiance scheme for correlation filters

Content Provider	IET Digital Library
Author	Awan, A. B. Bakhshi, A. D. Abbas, M. Rehman, S.
Abstract	The negative impact of clutters on correlation output still remains the problem not handled in correlation pattern recognition (CPR) paradigm. Some of the known impacts caused by the presence of clutters include pronounced side-lobe generation and reduction in height of correlation peak. The occurrence of the side-lobes results in the distortion of actual correlation output while making the class decision a difficult task. Whereas, reduction in correlation height may cause class decisions to go wrong. The authors propose a novel clutter defiance strategy based on object segmentation through active contours approach thus evading a negative effect on the correlation output. Instead of allowing clutters to participate in CPR-based classification decision they recommend blocking irrelevant details to avoid distortion in the correlation process. An appropriate tweaking in the optimal logarithmic maximum average correlation height filter design yields a performance gain up to 80% in the correlation peak to side-lobe ratio, thus making it well pronounced to classify the true class objects correctly. The improvement remains consistent throughout the range of in-plane angular distortions against synthetically cluttered challenging images.
Starting Page	525
Ending Page	527
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 9, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.7955
Journal	Electronics Letters
Publisher Date	2019-03-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Contour-based Clutter Defiance Scheme Active Contours Approach Class Objects Clutter Defiance Strategy Computer Vision And Image Processing Technique Correlation Filter Correlation Method Correlation Pattern Recognition Paradigm Correlation Peak Correlation Process CPR-based Classification Decision Image Classification Image Filtering Image Recognition Image Segmentation Optimal Logarithmic Maximum Average Correlation Height Filter Design Side-lobe Ratio Synthetically Cluttered Challenging Image
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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