Point Cloud Segmentation Method of Maize Ear

Authors

Weiliang Wen, 1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant, Beijing 100097, China;;2. College of Computer Science, Beijing University of Technology, Beijing 100124, China;;
Xinyu Guo, 1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant, Beijing 100097, China;;
Yang Tao, 3. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, china;;
Deda Zhao, 1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant, Beijing 100097, China;;
Miao Teng, 3. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, china;;
Hongyu Zhu, 4. Liaoning Dongya Seed Co.Ltd, Shenyang 110164, China;
Chengyu Dong, 4. Liaoning Dongya Seed Co.Ltd, Shenyang 110164, China;

Abstract

Abstract: Three-dimensional (3D) segmentation of maize ear is the fundamental research of 3D ear phenotype. A method of 3D segmentation for maize ear was proposed in this paper. Firstly, 3D point cloud of maize ear was acquired by using SmartScan 3D scanner. Then the point cloud was simplified by point cloud resampling to improve the efficiency of subsequent algorithm. And a contraction transformation was employed to increase the distance of neighboring grains in Euclidean space by estimating the normal of each point through k-neighbor algorithm. Finally, the point cloud of maize ear was segmented by Euclidean clustering. Results showed that the segmentation rate of grains could achieve more than 90%. Our method could provide technology support for the research of 3D ear phenotype analysis.

Recommended Citation

Wen, Weiliang; Guo, Xinyu; Tao, Yang; Zhao, Deda; Teng, Miao; Zhu, Hongyu; and Dong, Chengyu (2020) "Point Cloud Segmentation Method of Maize Ear," Journal of System Simulation: Vol. 29: Iss. 12, Article 13.
DOI: 10.16182/j.issn1004731x.joss.201712013
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss12/13

First Page

3030

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201712013

Last Page

3035

CLC

TP391.4

Recommended Citation

Wen Weiliang, Guo Xinyu, Yang Tao, Zhao Deda, Miao Teng, Zhu Hongyu, Dong Chengyu. Point Cloud Segmentation Method of Maize Ear[J]. Journal of System Simulation, 2017, 29(12): 3030-3035.

Corresponding Author

Miao Teng,

DOI

10.16182/j.issn1004731x.joss.201712013