Title | ||
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A Leaf Recognition Algorithm For Plant Classification Using Probabilistic Neural Network |
Abstract | ||
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In this paper, we employ Probabilistic Neural Network (PNN) with image and data processing techniques to implement a general purpose automated leaf recognition for plant classification. 12 leaf features are extracted and orthogonalized into 5 principal variables which consist the input vector of the PNN. The PNN is trained by 1800 leaves to classify 32 kinds of plants with an accuracy greater than 90%. Compared with other approaches, our algorithm is an accurate artificial intelligence approach which is fast in execution and easy in implementation. |
Year | DOI | Venue |
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2007 | 10.1109/ISSPIT.2007.4458016 | 2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3 |
Keywords | Field | DocType |
Probabilistic Neural Network, feature extraction, leaf recognition, plant classification | Data processing,Computer science,Artificial intelligence,Artificial neural network,Contextual image classification,Pattern recognition,Algorithm,Feature extraction,Probabilistic neural network,Machine learning,Principal component analysis,Plant identification,Cognitive neuroscience of visual object recognition | Journal |
Volume | Citations | PageRank |
abs/0707.4 | 114 | 5.15 |
References | Authors | |
10 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stephen Gang Wu | 1 | 114 | 5.15 |
Sheng Bao | 2 | 215 | 26.77 |
Eric You Xu | 3 | 114 | 5.15 |
Yu-Xuan Wang | 4 | 650 | 32.68 |
Yi-Fan Chang | 5 | 161 | 8.35 |
Qiao-Liang Xiang | 6 | 249 | 13.28 |