Rice Kernel Shape Description Using an Improved Fourier Descriptor

  • Hua Gao
  • Yaqin Wang
  • Guangmei Zhang
  • Pingju Ge
  • Yong Liang
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 368)


A Fourier descriptor is one of the best methods for describing object boundaries, but there are limitations in describing the boundary of rice kernels using traditional Fourier descriptors. An innovative approach was developed to describe rice kernel boundaries by improving a traditional Fourier descriptor. This radius Fourier descriptor (RFD) uses a radius set for rice kernel images as its basis function, and uses amplitude spectrum of Fourier transform for the radius set as its descriptor. This method only retains the first 9 components of RFD, which is simple and the dimension of the feature vector can be reduced greatly without concern for the initial starting point on the contour. The method was validated in terms of area computation, variety distance calculation, shape description, and detection of broken kernels using a backpropagation (BP) neural network for several varieties of rice kernels. The detection accuracy for whole rice kernels of different samples was 96%-100% and for broken rice kernels was 96.5%.


Image processing Radius set Rice kernel shape description Radius Fourier descriptor 


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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Hua Gao
    • 1
  • Yaqin Wang
    • 1
  • Guangmei Zhang
    • 1
  • Pingju Ge
    • 1
  • Yong Liang
    • 1
  1. 1.College of Information Science & EngineeringShandong Agricultural UniversityTaianChina

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