Woods recognition system based on local binary pattern

Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010

Volumn , Issue , 2010, Pages 308-313

  Nasirzadeh, M ^a   Khazael, A Arab ^a   Bin Khalid, Marzuki ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Histogram Fourier transforms; Image processing; Local binary pattern; Nearest neighborhood; Woods recognition systems

Indexed keywords

DISSIMILARITY MEASURES; FEATURE SPACE; GRAY SCALE; HIGH RATE; HISTOGRAM FOURIER TRANSFORMS; LOCAL BINARY PATTERNS; MALAYSIA; MALAYSIANS; NEAREST NEIGHBOR CLASSIFIER; NEAREST NEIGHBORHOOD; NEW APPLICATIONS; PHYSICAL AND MECHANICAL PROPERTIES; RAIN FORESTS; RECOGNITION ACCURACY; RECOGNITION SYSTEMS; ROTATION INVARIANCE; SARAWAK; SPECIES RECOGNITION; STRUCTURE AND PROPERTIES; TREE SPECIES; TROPICAL WOOD;

ARTIFICIAL INTELLIGENCE; COMMUNICATION SYSTEMS; COMPUTER VISION; FEATURE EXTRACTION; FOURIER TRANSFORMS; GRAPHIC METHODS; IMAGING SYSTEMS; MECHANICAL PROPERTIES; WOOD;

PATTERN RECOGNITION SYSTEMS;

ARTIFICIAL INTELLIGENCE; BINARY SYSTEMS; COMMUNICATION; FOURIER ANALYSIS; GRAPHIC METHODS; IMAGE ANALYSIS; MALAYSIA; MECHANICAL PROPERTIES; PATTERN RECOGNITION; PATTERNS; SPECIES IDENTIFICATION; WOOD;

EID: 78649847450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICSyN.2010.27     Document Type: Conference Paper

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