Plant Leaf Identification Using Multi-scale Fractal Dimension

作者: André R. Backes , Odemir M. Bruno

DOI: 10.1007/978-3-642-04146-4_17

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摘要: Taxonomical classification of plants is a very complex and time-consuming task. This mostly due to the great biodiversity species fact most measures extracted from are traditionally performed manually. paper presents novel approach plant identification based on leaf texture. Initially, texture modelled as surface, so complexity analysis using Multi-scale fractal dimension can be over generated resulting in feature vector which represents terms spatial scale. Yielded results show potential approach, overcomes traditional methods, such Co-occurrence matrices, Gabor filters Fourier descriptors.

参考文章(34)
A.R. Hemsley, M.H. Kurmann, The evolution of plant architecture Board of Trustees, Royal Botanic Gardens Kew. ,(1999)
Claude Tricot, Curves and Fractal Dimension ,(2011)
André R. Backes, Odemir M. Bruno, A New Approach to Estimate Fractal Dimension of Texture Images international conference on image and signal processing. pp. 136- 143 ,(2008) , 10.1007/978-3-540-69905-7_16
Luciano da Fontoura Costa, Roberto Marcond Cesar Jr., Shape Analysis and Classification: Theory and Practice CRC Press. ,(2000) , 10.1201/9781420037555
John Daugman, Cathryn Downing, Gabor wavelets for statistical pattern recognition The handbook of brain theory and neural networks. pp. 414- 420 ,(1998)
Image and Signal Processing Lecture Notes in Computer Science. ,vol. 5099, ,(2008) , 10.1007/978-3-540-69905-7
Keinosuke Fukunaga, Introduction to statistical pattern recognition (2nd ed.) Academic Press Professional, Inc.. ,(1990)
Abdulkadir Sengur, Ibrahim Turkoglu, M. Cevdet Ince, Wavelet packet neural networks for texture classification Expert Systems With Applications. ,vol. 32, pp. 527- 533 ,(2007) , 10.1016/J.ESWA.2005.12.013
Mats Carlin, Measuring the complexity of non-fractal shapes by a fractal method☆ Pattern Recognition Letters. ,vol. 21, pp. 1013- 1017 ,(2000) , 10.1016/S0167-8655(00)00061-1