Improving efficiency and effectiveness of the image distortion model

Pattern Recognition Letters

Volumn 29, Issue 15, 2008, Pages 2018-2024

  Springmann, Michael ^a   Dander, Andreas ^b   Schuldt, Heiko ^a  

^a UNIVERSITY OF BASEL   (Switzerland)

^b UNIVERSITY FOR HEALTH SCIENCES   (Austria)

Author keywords

Algorithmic optimization; Content based image retrieval; Image distortion model; Medical image retrieval

Indexed keywords

CHARACTER RECOGNITION; CHLORINE COMPOUNDS; DEGRADATION; IMAGE ENHANCEMENT; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; OPTIMIZATION; PIXELS; STANDARDS; SULFATE MINERALS; WEAVING;

ALGORITHMIC OPTIMIZATION; AUTOMATIC ANNOTATION; CONTENT-BASED IMAGE RETRIEVAL; DEFORMATION MODELING; DISTANCE MEASURES; EARLY TERMINATION; EXECUTION TIME; HAND WRITTEN CHARACTER RECOGNITION; IMAGE DISTORTION MODEL; IMAGE DISTORTIONS; K-NN CLASSIFIER; LONG QUERY; MEDICAL IMAGE RETRIEVAL; MULTI-THREADING; PENTIUM 4; RETRIEVAL QUALITY; RETRIEVAL TIME; WIDER RANGE;

COMPUTATIONAL COMPLEXITY;

EID: 52049093446     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.04.011     Document Type: Article

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