An improved image segmentation algorithm for monitoring height growth of bamboo shoots

Hongsheng Liu; Yuliang Liu; Xingyao Ran

doi:10.1117/12.3011664

7 December 2023 An improved image segmentation algorithm for monitoring height growth of bamboo shoots

Hongsheng Liu, Yuliang Liu, Xingyao Ran

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294146 (2023) https://doi.org/10.1117/12.3011664
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

To raise the monitoring accuracy of height growth of bamboo shoots, an improved image segmentation algorithm is proposed. The innovation lies in thorough utilization of the color features of bamboo shoots in order to get effective segmentation. Based on stitching and pre-processing algorithms including several filters, the image of bamboo shoots is binarized by chromaticity quantization, and then the defect left behind binarization is eliminated by morphological erosion, dilation and small target removal operators, respectively. Finally, computer simulation results show that the growth information such as position and height relationship of bamboo shoots, is accurately obtained by the novel image segmentation algorithm proposed in this paper.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongsheng Liu, Yuliang Liu, and Xingyao Ran "An improved image segmentation algorithm for monitoring height growth of bamboo shoots", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294146 (7 December 2023); https://doi.org/10.1117/12.3011664

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