Multiple Classification of Plant Leaves Based on Gabor Transform and LBP Operator

Feng-Yan Lin,Qing-Kui Man,Xiao-Feng Wang,Chun-Hou Zheng

doi:10.1007/978-3-540-85930-7_55

Multiple Classification of Plant Leaves Based on Gabor Transform and LBP Operator

Feng-Yan Lin, Qing-Kui Man + Show 2 more

https://doi.org/10.1007/978-3-540-85930-7_55

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Publication Date: Jan 1, 2008

Citations: 20

Affiliation: Qufu Normal University, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei University

#Local Binary Patterns Operator #Local Binary Patterns + Show 8 more

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Abstract

In this paper, a multiple classification method for plant species based on Gabor filters and local binary patterns (LBP) operator is proposed. We classify plant species by extracting global texture features with Gabor filters and local features with LBP operator. Simply speaking, the LBP operator is conducted on the magnitude maps of multi-scale and multi-orientation Gabor filtered image rather than original image. Thus, a plant leaf is presented as more spatial histograms with varying scales and orientations. The method has impressively improved the performance comparing with using Gabor transform or LBP absolutely.

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