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基于时空域滤波的雾天舰船图像视觉传达方法
Visual communication method of ship image in fog based on spatio-temporal filtering
- DOI:
- 作者:
- 焦晓杰
JIAO Xiao-jie
- 作者单位:
- 郑州科技学院，河南 郑州 450064
Zhengzhou University of Science and Technology, Zhengzhou 450064, China
- 关键词:
- 时空域滤波;雾天舰船图像;视觉传达;中值滤波;基础层;分辨率
spatio temporal filtering; ship image in fog; visual communication; median filtering; foundation layer; resolving power
- 摘要:
- 为提升雾天舰船图像视觉传达质量，提出基于时空域滤波的雾天舰船图像视觉传达方法。中值滤波算法分解雾天舰船图像，获取基础层与细节层雾天舰船图像；利用时空域滤波算法确定舰船图像需增强区域，并对其进行图像增强；以加权融合方式到增强后雾天舰船图像；提取增强后雾天舰船图像的边缘轮廓特征，依据量化融合方式处理提取的边缘轮廓特征，输出雾天舰船图像视觉传达结果。实验证明，该方法可有效分解雾天舰船图像，并增强图像，有效完成现雾天舰船图像视觉传达，提升图像边缘强度与彩色熵，即图像视觉传达效果较优。
In order to improve the visual communication quality of ship image in fog, a method of ship image visual communication based on spatio-temporal filtering was proposed. The median filtering algorithm decomposes the ship image in fog, and obtains the ship image in fog at the base layer and detail layer, Using the spatio-temporal filtering algorithm to determine the area of the ship image to be enhanced, and enhance the image; Weighted fusion method is used to enhance the ship image in foggy weather, The edge contour features of the enhanced ship image in foggy weather are extracted. The extracted edge contour features are processed according to the quantitative fusion method, and the visual communication results of the ship image in foggy weather are output. Experimental results show that this method can effectively decompose and enhance ship images in fog, This method can effectively complete the visual communication of ship images in foggy weather, improve the image edge intensity and color entropy, that is, the image visual communication effect is better.
2023,45(3): 173-176 收稿日期：2022-09-15
DOI：10.3404/j.issn.1672-7649.2023.03.034
分类号：TP391
作者简介：焦晓杰(1987-),女,硕士,讲师,研究方向为计算机图像、视觉传达等
