ApLeaf: An efficient android-based plant leaf identification system

Neurocomputing

Volumn 151, Issue P3, 2015, Pages 1112-1119

  Zhao, Zhong Qiu ^a,b   Ma, Lin Hai ^a   Cheung, Yiu ming ^b,c   Wu, Xindong ^a,d   Tang, Yuanyan ^e   Chen, Chun Lung Philip ^e  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^c BNU HKBU UNITED INTERNATIONAL COLLEGE   (China)

^d Hong Kong Baptist University ^*  (United States)

^e UNIVERSITY OF MACAU   (Macao)

Author keywords

Android application; Feature fusion; Image retrieval; Plant identification

Indexed keywords

ANDROID (OPERATING SYSTEM); FORESTRY; IMAGE RETRIEVAL; IMAGE SEGMENTATION; MOBILE COMPUTING; PLANTS (BOTANY); QUERY PROCESSING; TREES (MATHEMATICS);

ANDROID APPLICATIONS; FEATURE FUSION; IDENTIFICATION PROCESS; MEDITERRANEAN AREAS; MOBILE APPLICATIONS; PLANT IDENTIFICATION; SPECIES IDENTIFICATION; TEXTUAL DESCRIPTION;

SEARCH ENGINES;

APLEAF; ARTICLE; CAMERA; COMPARATIVE STUDY; CONTROLLED STUDY; DATA BASE; DIGITAL IMAGING; FEATURE EXTRACTION; FLOWER; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RETRIEVAL; LEAF IMAGE SEGMENTATION; MATHEMATICAL ANALYSIS; MOBILE APPLICATION; PHOTOGRAPHY; PLANT IDENTIFICATION; PLANT LEAF; SPECIES IDENTIFICATION; WAVELET ANALYSIS;

IMAGE ANALYSIS; LEAVES; PLANTS; SPECIES IDENTIFICATION;

EID: 84918522479     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.02.077     Document Type: Article

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