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Detection of Surface Defects of Fruits Based on Fractal Dimension

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Abstract

As the identification of surface defects is very important in fruit automatic detection, a new method for the detection of fruit surface defects based on fractal dimension is suggested. In this method, fruit image was collected using computer vision system. The fractal dimension of fruit image was calculated by an improved ‘box dimension’. The fruit fractal dimension reflects the three dimensional characteristics of the fruit as well as information of the fruit surface. The detection of surface defects of fruits was performed according to a given threshold of fruit image fractal dimension. The results on Fuji apple fruits showed that the improved ‘box dimension’ method was effective and reliable in the detection of fruit defects for its improvement in the accuracy in the calculation of the fractal dimension.

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Authors and Affiliations

  1. School of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong Province, P.R. China, 271018

    Yongxiang Sun, Yong Liang & Qiulan Wu

Authors
  1. Yongxiang Sun

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  2. Yong Liang

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  3. Qiulan Wu

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Editor information

Editors and Affiliations

  1. EU-China Center for Information & Communication Technologies (CICTA), China Agricultural University, 17 Tsinghua East Road, 100083, Beijing, P.R. China

    Daoliang Li  & Yingyi Chen  & 

  2. College of Mechanical and Electronic Engineering, East China Jiaotong University, Shuanggang Road, 330013, Jiangxi, Nanchang, China

    Yande Liu

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© 2011 IFIP International Federation for Information Processing

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Sun, Y., Liang, Y., Wu, Q. (2011). Detection of Surface Defects of Fruits Based on Fractal Dimension. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18333-1_65

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