Flower image retrieval method based on ROI feature

Journal of Zhejiang University: Science

Volumn 5, Issue 7, 2004, Pages 764-772

  Hong, An Xiang ^a   Chen, Gang ^a   Li, Jun Li ^a   Chi, Zhe Ru ^b   Zhang, Dan ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Color features; Flower image characterization; Flower image retrieval; Knowledge driven segmentation; Region of Interest (ROI); Shape features

Indexed keywords

CHARACTER RECOGNITION; COMPUTER VISION; FEATURE EXTRACTION; IMAGE SEGMENTATION; PLANTS (BOTANY);

ANGLE CODE HISTOGRAM; CENTROID CONTOUR DISTANCE; COLOR CLUSTERING; COLOR HISTOGRAM; FLOWER IMAGE RETRIEVAL; KNOWLEDGE DRIVEN SEGMENTATION; PLANT SPECIES RECOGNITION; REGION OF INTEREST; SHAPE FEATURE;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; COLOR; COLORIMETRY; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FLOWER; HISTOLOGY; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COLOR; COLORIMETRY; FLOWERS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 4544283025     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2004.0764     Document Type: Article

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