Rotated, scaled, and noisy 2D and 3D texture classification with the bispectrum-based invariant feature

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

Volumn 1876 LNCS, Issue , 2000, Pages 787-795

  Horikawa, Yo ^a  

^a KAGAWA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MAPPING; CLASSIFICATION (OF INFORMATION); GAUSSIAN NOISE (ELECTRONIC); PATTERN RECOGNITION; ROTATION; SIGNAL TO NOISE RATIO; TEXTURES; IMAGE TEXTURE;

3D-TEXTURE CLASSIFICATIONS; ARBITRARY DEGREE; COMPUTER EXPERIMENT; CORRECT CLASSIFICATION RATIOS; INVARIANT FEATURES; NATURAL TEXTURES; SIMILARITY TRANSFORMATION; WHITE GAUSSIAN NOISE;

IMAGE TEXTURE; IMAGE CLASSIFICATION;

EID: 0006587009     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44522-6_81     Document Type: Conference Paper

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