Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm
For the purpose of significantly reducing the processing time of the apple harvesting robot during the harvesting process, it is highly necessary to carry out the corresponding studies on the methods for rapid recognition and trajectory planning. Through the comprehensive application of information...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/2817869 |
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| _version_ | 1832561499723268096 |
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| author | Ya Wang |
| author_facet | Ya Wang |
| author_sort | Ya Wang |
| collection | DOAJ |
| description | For the purpose of significantly reducing the processing time of the apple harvesting robot during the harvesting process, it is highly necessary to carry out the corresponding studies on the methods for rapid recognition and trajectory planning. Through the comprehensive application of information relevance, the image processing area can be reduced. For image recognition and trajectory planning, the related template matching algorithm for removing the mean value and normalization product can be adopted, and segmentation methods based on different threshold values can be used for the realization of the effect. Subsequently, the comparative experiments are properly carried out to verify the effectiveness of the method used. |
| format | Article |
| id | doaj-art-655439a2a2d448f8851da14d4cdc459a |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-655439a2a2d448f8851da14d4cdc459a2025-02-03T01:24:52ZengWileyAdvances in Multimedia1687-56801687-56992021-01-01202110.1155/2021/28178692817869Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation AlgorithmYa Wang0Puyang Vocational and Technical College, Puyang 457000, Henan, ChinaFor the purpose of significantly reducing the processing time of the apple harvesting robot during the harvesting process, it is highly necessary to carry out the corresponding studies on the methods for rapid recognition and trajectory planning. Through the comprehensive application of information relevance, the image processing area can be reduced. For image recognition and trajectory planning, the related template matching algorithm for removing the mean value and normalization product can be adopted, and segmentation methods based on different threshold values can be used for the realization of the effect. Subsequently, the comparative experiments are properly carried out to verify the effectiveness of the method used.http://dx.doi.org/10.1155/2021/2817869 |
| spellingShingle | Ya Wang Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm Advances in Multimedia |
| title | Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm |
| title_full | Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm |
| title_fullStr | Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm |
| title_full_unstemmed | Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm |
| title_short | Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm |
| title_sort | target recognition and trajectory planning of apple harvesting robot considering color multimedia image segmentation algorithm |
| url | http://dx.doi.org/10.1155/2021/2817869 |
| work_keys_str_mv | AT yawang targetrecognitionandtrajectoryplanningofappleharvestingrobotconsideringcolormultimediaimagesegmentationalgorithm |