A Type-2 Fuzzy Clustering and Quantum Optimization Approach for Crops Image Segmentation-Reference-Cited by-同舟云学术

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A Type-2 Fuzzy Clustering and Quantum Optimization Approach for Crops Image Segmentation

Published:2021-01-04 Issue:3 Volume:23 Page:615-629
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Huang Yo-Ping^ORCID,Singh Pritpal,Kuo Wen-Lin,Chu Hung-Chi

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-020-01009-2.pdf

Reference38 articles.

1. C. S. Division, Taiwan Agriculture Research Institute (June 2020). https://www.tari.gov.tw/english/.

2. Yu, Z., Cao, Z., Wu, X., Bai, X., Qin, Y., Zhuo, W., Xiao, Y., Zhang, X., Xue, H.: Automatic image-based detection technology for two critical growth stages of maize: emergence and three-leaf stage. Agric. For. Meteorol. 174–175, 65–84 (2013)

3. Cuevas-Velasquez, H., Gallego, A.-J., Fisher, R.B.: Segmentation and 3D reconstruction of rose plants from stereoscopic images. Comput. Electron. Agric. 171, 1–18 (2020)

4. Rubio, J.J., Kashiwa, T., Laiteerapong, T., Deng, W., Nagai, K., Escalera, S., Nakayama, K., Matsuo, Y., Prendinger, H.: Multi-class structural damage segmentation using fully convolutional networks. Comput. Ind. 112, 103–121 (2019)

5. Cheng, H.-D., Jiang, X., Wang, J.: Color image segmentation based on homogram thresholding and region merging. Pattern Recognit. 35(2), 373–393 (2002)

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