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Leaf Image Recognition Using Fourier Transform Based on Ordered Sequence

  • Li-Wei Yang
  • Xiao-Feng Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7389)

Abstract

There are a number of leaf recognition methods, but most of them are based on Euclidean space. In this paper, we will introduce a new description of feature for the leaf image recognition, which represents the leaf contour with the ordered sequence. For a leaf image, points on the contour represent the most important information of the leaf. Thus, by extracting serial points of the leaf contour, the unique corresponding ordered sequence can be obtained for a contour. Then, we can compute the amplitude-frequency feature by performing the Discrete Fourier transform on the ordered sequence. Since the low-frequency part of the Fourier transform represents the global information and the high-frequency part the local details, we can adopt the amplitude-frequency feature for leaf image recognition. Experimental results on the famous Swedish library and ICL library show that the proposed feature is effective for leaf image recognition.

Keywords

leaf recognition Fourier transform ordered sequence amplitude-frequency 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Li-Wei Yang
    • 1
    • 2
  • Xiao-Feng Wang
    • 2
    • 3
  1. 1.Department of AutomationUniversity of Science and Technology of ChinaHefeiChina
  2. 2.Intelligent Computing Laboratory, Hefei Institute of Intelligent MachinesChinese Academy of SciencesHefeiChina
  3. 3.Key Lab of Network and Intelligent Information ProcessingHefei UniversityHefeiChina

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