Classification Method Research of Fresh Agaricus Bisporus Based on Image Processing - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Classification Method Research of Fresh Agaricus Bisporus Based on Image Processing

(1) , (1) , (1) , (1) , (1)
1
Fengyun Wang
  • Function : Author
  • PersonId : 972081
Jiye Zheng
  • Function : Author
  • PersonId : 972306
Lei Wang
  • Function : Author
  • PersonId : 972309
Wenjie Feng
  • Function : Author
  • PersonId : 1047076
Luyan Niu
  • Function : Author
  • PersonId : 1020391

Abstract

The article studies the classification method for the fresh agaricus bisporus based on image processing. When acquiring the image information, the shadow of image and mushroom stipe may affect the analysis of maximum diameter of agaricus bisporus which is the important factor. In this paper, the global threshold segmentation method and maximum entropy threshold segmentation method are combined to carry out the first watershed algorithm to remove the shadow of image. Then the Canny operator, opening and closing operation and corrosion expansion are used to carry out the second watershed algorithm for the removal of stipe interference. The method achieves a good result through the comparison between the actual measured results and experimental results.
Fichier principal
Vignette du fichier
478291_1_En_30_Chapter.pdf (219.77 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02124268 , version 1 (09-05-2019)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Fengyun Wang, Jiye Zheng, Lei Wang, Wenjie Feng, Luyan Niu. Classification Method Research of Fresh Agaricus Bisporus Based on Image Processing. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.333-340, ⟨10.1007/978-3-030-06137-1_30⟩. ⟨hal-02124268⟩
44 View
12 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More