NDLI: Matching Segments of Images

Content Provider	IEEE Xplore Digital Library
Author	Price, Keith Reddy, Raj
Copyright Year	1979
Abstract	This correspondence describes research in the development of symbolic registration techniques directed toward the comparison of pairs of images of the same scene to ultimately generate descriptions of the changes in the scene. Unlike most earlier work in image registration, all the matching and analysis will be performed at a symbolic level rather than a signal level. We have applied this registration procedure on several different types of scenes and the system appears to work well both on pairs of images which may be analyzed in part by signal based systems and those which cannot be so analyzed.
Sponsorship	IEEE Computer Society
Starting Page	110
Ending Page	116
Page Count	7
File Size	4208419
File Format	PDF
ISSN	01628828
Volume Number	PAMI-1
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1979-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image analysis Layout Signal analysis Image registration Performance analysis Shape Image processing Image matching Application software image registration Artificial intelligence change detection image matching
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics 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

Matching Images to Models for Registration and Object Detection via Clustering

The Selection of Critical Subsets for Signal, Image, and Scene Matching

Semantic Description of Aerial Images Using Stochastic Labeling

Locating Structures in Aerial Images

Texture Analysis Using Generalized Co-Occurrence Matrices

Rigid Shape Matching by Segmentation Averaging

Detection and modeling of buildings from multiple aerial images

Bounds on (Deterministic) Correlation Functions with Application to Registration

Performance Comparison of Scene Matching Techniques

Matching Segments of Images

Similar Documents

Matching Images to Models for Registration and Object Detection via Clustering

The Selection of Critical Subsets for Signal, Image, and Scene Matching

Semantic Description of Aerial Images Using Stochastic Labeling

Locating Structures in Aerial Images

Texture Analysis Using Generalized Co-Occurrence Matrices

Rigid Shape Matching by Segmentation Averaging

Detection and modeling of buildings from multiple aerial images

Bounds on (Deterministic) Correlation Functions with Application to Registration

Performance Comparison of Scene Matching Techniques

Matching Segments of Images