Document Detail


A maximum likelihood approach to texture classification.
MedLine Citation:
PMID:  21869005     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
A new approach to texture classification is described which is based on measurements of the spatial gray-level co-occurrence probability matrix. This approach can make use of assumed stochastic models for texture in imagery and is an approximation to the statistically optimum maximum likelihood classifier. The efficacy of the approach is demonstrated through experimental results obtained with real-world texture data.
Authors:
A L Vickers; J W Modestino
Related Documents :
21408215 - Recruitment variability in north atlantic cod and match-mismatch dynamics.
18678395 - Potential problems with environmental sound barriers when used in mitigating surface tr...
18521715 - Applicability of hydromorphological monitoring data to locate flood risk reduction meas...
21236755 - Phylogenetics of cytoplasmically inherited microorganisms of arthropods.
21354775 - Parametric study of msw landfill settlement model.
9929435 - Surface complexation modeling of yb(iii), ni(ii), and cs(i) sorption on magnetite.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  4     ISSN:  0162-8828     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  1982 Jan 
Date Detail:
Created Date:  2011-08-26     Completed Date:  -     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:  61-8     Citation Subset:  -    
Affiliation:
Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12181.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

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


Previous Document:  Scene-based nonuniformity compensation for imaging sensors.
Next Document:  A core-line tracing algorithm based on maximal square moving.