Document Detail


Constrained connectivity for hierarchical image decomposition and simplification.
MedLine Citation:
PMID:  18550898     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper introduces an image decomposition and simplification method based on the constrained connectivity paradigm. According to this paradigm, two pixels are said to be connected if they comply to a series of constraints defined in terms of simple measures such as the maximum grey level differences over well-defined pixel paths and regions. The resulting connectivity relation generates a unique partition of the image definition domain. The simplification of the image is then achieved by setting each segment of the partition to the mean value of the pixels falling within this segment. Fine to coarse partition hierarchies (and therefore images of increasing degree of simplification) are produced by varying the threshold value associated with each connectivity constraint. The paper also includes a generalisation to multichannel images, applications, a review of related image segmentation techniques, and pseudo-code for an implementation based on queue and stack data structures.
Authors:
Pierre Soille
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  30     ISSN:  0162-8828     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-13     Completed Date:  2008-07-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9885960     Medline TA:  IEEE Trans Pattern Anal Mach Intell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1132-45     Citation Subset:  IM    
Affiliation:
Spatial Data Infrastructures Unit, Institute for Environment and Sustainability, Joint Research Centre of the European Commission, Ispra, Italy. Piere.Soille@jrc.it
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Information Storage and Retrieval / methods
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity

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


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