A method of plant classification based on wavelet transforms and support vector machines

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

Volumn 5754 LNCS, Issue , 2009, Pages 253-260

  Liu, Jiandu ^a   Zhang, Shanwen ^b   Deng, Shengli ^c  

^a AIR FORCE ENGINEERING UNIVERSITY   (China)

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

^c Air Force 93861 Army ^*  (China)

Author keywords

Plant leaf image feature extraction; Support vector machines; Wavelet transforms

Indexed keywords

CLASSIFICATION ACCURACY; DATA SETS; LEAF IMAGES; NOVEL METHODS; PLANT CLASSIFICATION; PLANT LEAF; PLANT LEAF IMAGE FEATURE EXTRACTION; PROCESSING SPEED; RECOGNITION RATES; SVM CLASSIFIERS; TIME FREQUENCY DOMAIN;

COMPUTER SCIENCE; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INTELLIGENT COMPUTING; SUPPORT VECTOR MACHINES; TAXONOMIES; VECTORS;

WAVELET TRANSFORMS;

EID: 70350397332     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04070-2_29     Document Type: Conference Paper

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