Abstract
Recognizing plant leaves has been an important and difficult task. This paper introduces a method of recognizing leaf images based on Ring Projection Wavelet Fractal Feature. Firstly, we apply pre-processing to leaf images, and extract from leaves around the border area by the white pixels and all pixel black background binary contour map. Secondly, we get one-dimensional feature of leaves by using Ring Projection to reduce the dimension of two-dimensional pattern. Then, the one-dimensional is decomposed with Daubechies discrete wavelet transform to obtain sub pattern. Finally, we seek the fractal dimension of each sub model. Leaf shape features are extracted from pre-processed leaf images, which include fractal dimension of each sub model and seven Hu moment invariants. As a result there are 30 classes of plant leaves successfully classified.
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Wang, QP., Du, JX., Zhai, CM. (2010). Recognition of Leaf Image Based on Ring Projection Wavelet Fractal Feature. In: Huang, DS., Zhang, X., Reyes García, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_30
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DOI: https://doi.org/10.1007/978-3-642-14932-0_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14931-3
Online ISBN: 978-3-642-14932-0
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