Invariant texture classification for biomedical cell specimens via non-linear polar map filtering

Computer Vision and Image Understanding

Volumn 114, Issue 1, 2010, Pages 44-53

  Kumar, S ^a   Ong, S H ^b   Ranganath, S ^b   Chew, F T ^b  

^a INSTITUTE OF BIOENGINEERING AND NANOTECHNOLOGY   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Biomedical cells; Contrast invariant; Polar map; Rotation invariant; Scale invariant; Support vector machine; Texture classification

Indexed keywords

BIOMEDICAL CELLS; CLASSIFICATION ACCURACY; CLASSIFICATION SCHEME; CO-OCCURRENCE; DATA SETS; GLOBAL ENERGY; INVARIANT PROPERTIES; NON-LINEAR; NORMALIZED CROSS-CORRELATION; ROTATION INVARIANT; SCALE-INVARIANT; TEXTURE CLASSIFICATION;

IMAGE RETRIEVAL; ROTATION; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION;

TEXTURES;

EID: 71649091895     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2009.08.005     Document Type: Article

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