Presentation | 2007-05-24 Feature Extraction of Leaf Shape Using Centroid-Contour Distance Algorithm Alfian Muhammad, Kouki Abe, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Plant recognition is important for biology and agriculture. In this paper we pay our attention to feature extraction of leaf shape to contribute to automatic plant recognition. A method called CCD (Centroid-Contour Distance) coding algorithm to represent the shape of a leaf in terms of lobation and margin from ontology approach has been known. The algorithm derives the code from a CCD graph of the distance from the gravity center by tracing the contour. Focusing on the CCD coding algorithm, we propose a coding method that is faster and more accurate than the previous methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Leaf shape / Feature extraction / Pattern recognition / Plant ontology |
Paper # | PRMU2007-1,MI2007-1 |
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Committee | PRMU |
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Conference Date | 2007/5/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feature Extraction of Leaf Shape Using Centroid-Contour Distance Algorithm |
Sub Title (in English) | |
Keyword(1) | Leaf shape |
Keyword(2) | Feature extraction |
Keyword(3) | Pattern recognition |
Keyword(4) | Plant ontology |
1st Author's Name | Alfian Muhammad |
1st Author's Affiliation | Department of Computer Science, The University of Electro Communications /() |
2nd Author's Name | Kouki Abe |
2nd Author's Affiliation | |
Date | 2007-05-24 |
Paper # | PRMU2007-1,MI2007-1 |
Volume (vol) | vol.107 |
Number (no) | 57 |
Page | pp.pp.- |
#Pages | 6 |
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