Article Details

Title · Authors · Abstract · Keywords · DOI · References

Rice Lodging Region Extraction Method Based on Improved Canny

CHAI Jun1, WANG Haochen2

(1.Wuxi Machinery and Electron Branch of Jiangsu Union Technical Institute, Wuxi 214028, China; 2.School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China)

Section：Computer Technology · Vol. 2025, Issue 2 · Pages：12-15 · 2096-4706（2025）02-0012-04 · CLC number：TP301.6 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2025.02.003

Abstract

In order to measure the yield and economic losses caused by crop lodging after disasters, an improved image edge detection technology is used to obtain the area of the lodging area. Based on the existing Canny operator edge detection, the median filtering is adopted to replace the Gaussian function for smoothing the image. Then, the adaptive dual threshold and the generalized chain are used to distinguish between true and false edge points and eliminate the false edge points. Finally, the edge straight lines are obtained through linear fitting and the Hough transform. Due to the obvious boundary phenomenon between the lodging area and the normal area and the increased features of the lodging texture, the lodging area can be accurately extracted. The experimental results show that the extraction errors of the lodging area in the five experimental plots are only 9.2%, 9.4%, 8.9%, 7.9%, and 8.7%.

Keywords

lodging crop; image recognition; edge detection; improved Canny

References

  1. [1] Deng Hong, Yang Yingting, Liu Zhaopeng, etc A semantic segmentation method for unmanned aerial vehicle paddy field images based on deep learning [J]. China Agricultural Machinery Chemistry Journal, 2021, 42 (10): 165-172
  2. [2] Zhang Xinle, Guan Haixiang, Liu Huanjun, etc Extraction of lodging area of fully matured corn based on unmanned aerial vehicle multispectral images [J]. Journal of Agricultural Engineering, 2019, 35 (19): 98-106
  3. [3] Zhao Jing, Pan Fangjiang, Lan Yubin, etc Extraction of wheat lodging area using drone visible light remote sensing and feature fusion [J]. Journal of Agricultural Engineering, 2021, 37 (3): 73-80
  4. [4] Tang Dong, Yu Yixin, Liu Bo Crop lodging area evaluation system based on image edge detection [J]. Agricultural Mechanization Research, 2020, 42 (5): 88-93
  5. [5] Dou Leiping, Wu Junqin Image edge detection based on improved Canny algorithm [J]. Software Guide, 2023, 22 (8): 216-220
  6. [6] Yan He, Zhao Qifeng, Xie Min, etc Adaptive Canny operator for edge detection and repair of PCBA components [J]. Acta Optica Sinica, 2021, 41 (5): 97-104
  7. [7] Cha Hongwei, Li Hao, Zhu Yihu, etc Extracting rice shrimp co cultivation fields using edge assisted segmentation networks [J]. Journal of Agricultural Engineering, 2023, 39 (19): 154-164
  8. [8] VARGAS J Q，KHOT L R，PETERS R T，et al. Low Orbiting Satellite and Small UAS-based high-resolution Imagery Data to Quantify Crop Lodging: A Case Study in Irrigated Spearmint [J].IEEE Geoscience and Remote Sensing Letters，2019，17（5）：755-759.
  9. [9] WU F，ZHU C，XU J，et al. Research on Image Text Recognition based on Canny Edge Detection Algorithm and K-means Algorithm [J].International Journal of System Assurance Engineering and Management，2021，13（Suppl 1）：72-80.
  10. [10] Du Xuwei, Chen Dong, Ma Zhaokun, etc Improved Image Edge Detection Algorithm Based on Canny Operator [J]. Computer and Digital Engineering, 2022, 50 (2): 410-413+457
  11. [11] XU H，WAN C. Canny Improved Edge Detection Algorithm for anti-noise [J].Journal of Computer Applications，2017，1：201-205.

Funding

Jiangsu Province Key R&D Program Industry Prospective and Common Key Technology Key Project (BE2018007)

About the authors

Chai Jun (1978-), male, Han ethnicity, from Zhenjiang, Jiangsu, associate professor, master's student, research interests: intelligent equipment, robot vision, computer simulation.