Circularity of apple measurement based on the improved algorithm of the particle swarm optimization
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(1. San Men Xia Health School, Sanmenxia, Henan 472143, China;2. He Nan CATV Group San Men Xia Branch, Sanmenxia, Henan 472143, China)

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    Abstract:

    In order to solve the problem in the accuracy of circularity of apple, the improved algorithm of the particle swarm was adopted. Firstly, mathematical model circularity of apple was established. Secondly, particle swarm algorithm was improved, which was included inertia weight fuzzy control based on membership function of generalized bell shaped distribution, adaptive Z shaped membership function adjustment process, and selecting fitness function. Finally, the algorithm termination condition and flow were given. The experimental simulation results showed that the improved particle swarm optimization algorithm convergence was faster than the particle swarm optimization, and the accuracy of Jonakin and Fuji Apple roundness detection, about 96% and 97%, was higher than that of other algorithms. In conclusion, this could algorithm be used for circularity of apple measurement.

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申翠香,张晓宇.基于改进粒子群算法的苹果圆形度检测[J].食品与机械英文版,2018,34(5):131-133,192.

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History
  • Received:January 16,2018
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  • Online: March 17,2023
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