Index and Recognition for the Shape Contour of Plant Leaves

Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image....

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Veröffentlicht in:2009 WRI Global Congress on Intelligent Systems Jg. 4; S. 436 - 440
Hauptverfasser: Xun Liu, Keyi Hou, Liliang Wang, Ping Liu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2009
Schlagworte:
Content based retrieval
Educational institutions
Feature extraction
Image databases
Image matching
Image recognition
Image retrieval
Intelligent systems
KMP fuzzy matching algorithm
mountain climbing sequence images
plant leaf index
Process design
Shape
ISBN:9780769535715, 0769535712
ISSN:2155-6083
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Beschreibung
Zusammenfassung:Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image. The work we have finished includes in the process of choosing feature and using numerical sequence of image features to solve the question about the irrespective of image featurepsilas circumrotating transformation. In the design process, we adopt general content-based image retrieval framework. So, result of this paper is used to plant leavespsila classifying and recognizing.
ISBN:9780769535715
0769535712
ISSN:2155-6083
DOI:10.1109/GCIS.2009.126