Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm
The shape and area of the vortex are important indicators to judge the effect of chemical liquid spraying and crop pollination by agricultural plant protection UAV. However, the traditional way of extracting the vortex related data through manual methods without an adaptive mechanism is complicated...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9303472/ |
| _version_ | 1818480201281044480 |
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| author | Xu Wei Jiyu Li Bo Long Xiaodan Hu Han Wu Huifen Li |
| author_facet | Xu Wei Jiyu Li Bo Long Xiaodan Hu Han Wu Huifen Li |
| author_sort | Xu Wei |
| collection | DOAJ |
| description | The shape and area of the vortex are important indicators to judge the effect of chemical liquid spraying and crop pollination by agricultural plant protection UAV. However, the traditional way of extracting the vortex related data through manual methods without an adaptive mechanism is complicated and inefficient. In order to solve this problem, the vortex image is preprocessed by adaptive iterative binarization and mean filtering. Then, the Convex Hull algorithm combined with Edge function is applied to the pre-processed image to extract the specific shape of vortex image and further calculate its area. Experimental results show that this method can be used to extract the vortex shapes and calculate the vortex area under different experimental conditions without manual intervention. Compared with the results of vortex area obtained via the manual extraction method, this method reported the average absolute error rate of 2.84%, the RMSE of 0.2903, and the correlation coefficient of 0.9965, indicating that the proposed method is more applicable to reveal the actual state of the vortex. A standardized extraction method was established to provide a standard for future vortex image research. The method in this paper lays a scientific foundation for the real-time tracking research of agricultural plant protection UAV and vortex. |
| first_indexed | 2024-12-10T11:20:17Z |
| format | Article |
| id | doaj.art-ce23d54c0404451bb0491c05e084e394 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-10T11:20:17Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ce23d54c0404451bb0491c05e084e3942022-12-22T01:51:00ZengIEEEIEEE Access2169-35362021-01-0192706271410.1109/ACCESS.2020.30466519303472Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull AlgorithmXu Wei0https://orcid.org/0000-0002-0262-5958Jiyu Li1https://orcid.org/0000-0002-3154-1091Bo Long2Xiaodan Hu3Han Wu4Huifen Li5College of Engineering, South China Agricultural University, Guangzhou, ChinaCollege of Engineering, South China Agricultural University, Guangzhou, ChinaCollege of Engineering, South China Agricultural University, Guangzhou, ChinaCollege of Engineering, South China Agricultural University, Guangzhou, ChinaCollege of Engineering, South China Agricultural University, Guangzhou, ChinaRice Research Institute, Guangdong Academy of Agricultural Science, Guangzhou, ChinaThe shape and area of the vortex are important indicators to judge the effect of chemical liquid spraying and crop pollination by agricultural plant protection UAV. However, the traditional way of extracting the vortex related data through manual methods without an adaptive mechanism is complicated and inefficient. In order to solve this problem, the vortex image is preprocessed by adaptive iterative binarization and mean filtering. Then, the Convex Hull algorithm combined with Edge function is applied to the pre-processed image to extract the specific shape of vortex image and further calculate its area. Experimental results show that this method can be used to extract the vortex shapes and calculate the vortex area under different experimental conditions without manual intervention. Compared with the results of vortex area obtained via the manual extraction method, this method reported the average absolute error rate of 2.84%, the RMSE of 0.2903, and the correlation coefficient of 0.9965, indicating that the proposed method is more applicable to reveal the actual state of the vortex. A standardized extraction method was established to provide a standard for future vortex image research. The method in this paper lays a scientific foundation for the real-time tracking research of agricultural plant protection UAV and vortex.https://ieeexplore.ieee.org/document/9303472/Agricultural plant protection UAVconvex hull algorithmedge retrievalshape and areavortex |
| spellingShingle | Xu Wei Jiyu Li Bo Long Xiaodan Hu Han Wu Huifen Li Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm IEEE Access Agricultural plant protection UAV convex hull algorithm edge retrieval shape and area vortex |
| title | Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm |
| title_full | Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm |
| title_fullStr | Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm |
| title_full_unstemmed | Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm |
| title_short | Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm |
| title_sort | method for vortex shape retrieval and area calculation based on convex hull algorithm |
| topic | Agricultural plant protection UAV convex hull algorithm edge retrieval shape and area vortex |
| url | https://ieeexplore.ieee.org/document/9303472/ |
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