Novelty detection on metallic surfaces by GMM learning in Gabor space

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6112 LNCS, Issue PART 2, 2010, Pages 325-334

  Savran, Yigitcan ^a   Gunsel, Bilge ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Gabor Filters; Gaussian Mixtures; Novelty Detection

Indexed keywords

DEFECT DETECTION; DEFECT-FREE SURFACES; GABOR FILTER; GABOR FILTERING; GAUSSIAN MIXTURE MODELS; GAUSSIAN MIXTURES; INTEGRATED SYSTEMS; METALLIC SURFACE; MULTI SCALE ANALYSIS; NOVELTY DETECTION; REFLECTIVE STRUCTURE; SPATIAL DOMAINS; STAND -ALONE; TEST RESULTS; TEXTURE REPRESENTATION;

ARRAY PROCESSING; CRYSTALLOGRAPHY; GAUSSIAN DISTRIBUTION; IMAGE ANALYSIS; INSPECTION; INTEGRATED OPTICS; METALLIC COMPOUNDS; SURFACE MEASUREMENT; SURFACE STRUCTURE;

COMPUTATIONAL COMPLEXITY;

EID: 77955378338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13775-4_33     Document Type: Conference Paper

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