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图像处理技术在船舶航行障碍物识别中的应用
Application of image processing technology in ship navigation obstacle identification
- DOI:
- 作者:
- 苏立平
SU Li-ping
- 作者单位:
- 聊城大学东昌学院, 山东 聊城 252000
Liaocheng University Dongchang College, Liaocheng 252000, China
- 关键词:
- 图像处理技术;船舶航行;障碍物识别;分块检测跟踪
image processing technology; ship sail; obstacle distinguish; block detection track
- 摘要:
- 为了提高船舶航行避障能力，提出基于图像分块特征匹配和视觉跟踪识别的船舶航行障碍物识别技术。采用点跟踪匹配和动态帧点检测的方法进行船舶航行障碍物识别的红外图像信息采集，对采集的船舶航行障碍物红外视觉图像进行区域组合检测和融合处理，提取图像的差异性和突变性特征点，根据特征点的分布情况采用视觉跟踪识别方法实现对船舶航行障碍物识别。测试表明，该方法对船舶航行障碍物识别的动态跟踪能力较好，识别可靠性和精度较高。
In order to improve the obstacle avoidance ability of ship navigation, a ship navigation obstacle recognition technology based on image block feature matching and visual tracking recognition is proposed. Using point tracking matching and dynamic frame point detection methods to collect infrared image information for ship navigation obstacle recognition, region combination detection and fusion processing are carried out on the collected infrared visual images of ship navigation obstacles, extracting differential and abrupt feature points of the image. Based on the distribution of feature points, visual tracking recognition method is used to recognize ship navigation obstacles. Tests have shown that this method has good dynamic tracking ability for identifying obstacles in ship navigation, and has high recognition reliability and accuracy.
2023,45(10): 160-163 收稿日期：2022-10-23
DOI：10.3404/j.issn.1672-7649.2023.10.032
分类号：TP274
作者简介：苏立平(1976-),女,讲师,研究方向为数字图像处理技术
