Texture classification using nonlinear color quantization: Application to histopathological image analysis

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 597-600

  Sertel, Olcay ^a,b   Kong, Jun ^a,b   Lozanski, Gerard ^b   Shana 'Ah, Arwa ^b   Catalyurek, Umit ^a,b   Saltz, Joel ^b   Gurcan, Metin ^b  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Color texture analysis; Computer aided diagnosis; Self organizing feature maps

Indexed keywords

ACOUSTICS; CLASSIFICATION (OF INFORMATION); COLOR IMAGE PROCESSING; COMPUTER NETWORKS; CONFORMAL MAPPING; IMAGE ANALYSIS; IMAGE ENHANCEMENT; PAINTING; SELF ORGANIZING MAPS; SIGNAL PROCESSING; SPEECH; SPEECH RECOGNITION; TEXTURES;

COLOR TEXTURE ANALYSIS; COMPUTER-AIDED DIAGNOSIS; FOLLICULAR LYMPHOMA; SELF-ORGANIZING FEATURE MAPS;

OPTICAL PROPERTIES;

EID: 51449097478     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4517680     Document Type: Conference Paper

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