Document Detail


Pattern recognition with generalized centroids and subcentroids.
MedLine Citation:
PMID:  15796234     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We propose a class of generalized moment functions (GMFs) that can be used to determine a set of geometric points, namely, generalized centroids (G centroids), within an object. Based on a linear GMF, a mass centroid and its subcentroids can be defined and extracted, which provide information on the location and orientation of an object. Similar to traditional moment functions, GMFs can also be used to describe the global shape of an object, including symmetry and fullness. However, GMFs, along with G centroids and subcentroids, can further serve to construct a feature vector of an object, which is critical for image registration and invariant pattern recognition. One can extract more distinguishing features from the same object by changing the combination of GMFs. We present results that show simulations of pattern recognition from uniform backgrounds.
Authors:
Shoude Chang; Chander P Grover
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Applied optics     Volume:  44     ISSN:  0003-6935     ISO Abbreviation:  Appl Opt     Publication Date:  2005 Mar 
Date Detail:
Created Date:  2005-03-30     Completed Date:  2005-05-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0247660     Medline TA:  Appl Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1372-80     Citation Subset:  IM    
Affiliation:
Optics Group, Institute for National Measurement Standards, National Research Council, Canada, Building M-36, Montreal Road Campus, Ottawa, Ontario K1A 0R6, Canada. shoude.chang@nrc.ca
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Information Storage and Retrieval / methods
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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