A Textural Distributions-Based Detection of Hazelnut Axial Direction

Authors

Wenju Zhou¹, Fulong Yao^{1, *,} , Songyu Luan², Lili Wang², Johnkennedy Chinedu Ndubuisi¹, Xian Wu^1,

¹School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

²School of Information and Electrical Engineering, LuDong University, Yantai, 264025, China

^*Corresponding author. Email: yaofl@shu.edu.cn

DOI

10.2991/ijcis.d.201207.002How to use a DOI?

Keywords

Discrete paths; Projection histogram; Adaptive circle; Template matching

Abstract

Since the shell of the hazelnuts is very hard, it is necessary to squeeze the slit in the axial direction to facilitate peeling. When the hazelnuts are automatically processed in the industry chain, the axial of the hazelnuts needs to be quickly positioned. In this paper, the sum of projection gradient in the sensitive area of the hazelnut image is used to locate the hazelnuts axial. Firstly, a search template with discrete paths is established to find the hazelnut contour and extract the hazelnut region from the image. Secondly, the sensitive area is selected to get projection histogram at diffident orientations, and then the gradient sums of the projection histograms are calculated. Thirdly, the axial orientation of the hazelnut is determined with the biggest sum. The experiments results show that the projection gradient sum method is fast enough and can meet the requirements of industrial production. The location accuracy of the projection gradient sum method is 94.2%.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Wenju Zhou
AU  - Fulong Yao
AU  - Songyu Luan
AU  - Lili Wang
AU  - Johnkennedy Chinedu Ndubuisi
AU  - Xian Wu
PY  - 2020
DA  - 2020/12/11
TI  - A Textural Distributions-Based Detection of Hazelnut Axial Direction
JO  - International Journal of Computational Intelligence Systems
SP  - 358
EP  - 366
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201207.002
DO  - 10.2991/ijcis.d.201207.002
ID  - Zhou2020
ER  -