CN110832495A - 波浪识别方法、装置、计算机可读存储介质和无人飞行器 - Google Patents
波浪识别方法、装置、计算机可读存储介质和无人飞行器 Download PDFInfo
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Abstract
本发明涉及一种波浪识别方法,包括:提取图像采集装置在第一时刻采集的第一图像和在第二时刻采集的第二图像;分别提取所述第一图像和所述第二图像中的目标区域;比较所述第一图像中的目标区域和所述第二图像中的目标区域的特征信息;根据所述特征信息的比较结果识别所述目标区域是否为波浪。根据本发明的实施例,通过比较不同时刻的图像中目标区域的特征信息,根据比较结果可以确定特征信息的变化情况,而不同的物体在发生变化时,特征信息变化的情况有所不同,因此根据特征信息的变化情况可以确定目标区域对应实际环境中发生变化的为何种物体,从而根据特征信息的变化情况可以确定图像中的目标区域是否为波浪。
Description
PCT国内申请,说明书已公开。
Claims (108)
- PCT国内申请,权利要求书已公开。
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PCT/CN2018/095655 WO2020010620A1 (zh) | 2018-07-13 | 2018-07-13 | 波浪识别方法、装置、计算机可读存储介质和无人飞行器 |
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US (1) | US20210117647A1 (zh) |
CN (1) | CN110832495A (zh) |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112967349A (zh) * | 2021-04-02 | 2021-06-15 | 青岛丰禾星普科技有限公司 | 基于泡沫的水产养殖监控预警方法、终端设备及可读存储介质 |
CN113408401A (zh) * | 2021-06-16 | 2021-09-17 | 中国科学院南海海洋研究所 | 一种基于机器学习的船行波快速自动识别方法及装置 |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
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US11810346B2 (en) * | 2021-06-07 | 2023-11-07 | Goodrich Corporation | Land use for target prioritization |
CN116452595B (zh) * | 2023-06-19 | 2023-08-18 | 烟台金丝猴食品科技有限公司 | 一种基于图像处理的控制方法及设备 |
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2018
- 2018-07-13 CN CN201880038867.2A patent/CN110832495A/zh active Pending
- 2018-07-13 WO PCT/CN2018/095655 patent/WO2020010620A1/zh active Application Filing
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2020
- 2020-12-03 US US17/110,310 patent/US20210117647A1/en not_active Abandoned
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112967349A (zh) * | 2021-04-02 | 2021-06-15 | 青岛丰禾星普科技有限公司 | 基于泡沫的水产养殖监控预警方法、终端设备及可读存储介质 |
CN113408401A (zh) * | 2021-06-16 | 2021-09-17 | 中国科学院南海海洋研究所 | 一种基于机器学习的船行波快速自动识别方法及装置 |
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