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论文:2019,Vol:37,Issue(3):471-478 |
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引用本文： |
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陈旭阳, 贺昱曜, 宗瑞良, 李宝奇, 赵耀华. 基于光线折射模型的水下图像转换算法研究[J]. 西北工业大学学报 |
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CHEN Xuyang, HE Yuyao, ZONG Ruiliang, LI Baoqi, ZHAO Yaohua. Study on Underwater Image Conversion Algorithm Based on Light Refraction Model[J]. Northwestern polytechnical university |
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| 基于光线折射模型的水下图像转换算法研究 |
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| 陈旭阳1, 贺昱曜1, 宗瑞良2, 李宝奇1, 赵耀华1 |
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1. 西北工业大学 航海学院, 陕西 西安 710072;
2. 西北工业大学 电子信息学院, 陕西 西安 710072 |
| 摘要: |
| 针对水下目标成像时光线折射所造成的图像失真问题，以及现有图像转换算法因忽略光线二次折射所造成的转换误差，提出一种基于光线折射模型的水下图像转换转算法。该算法首先获取水下图像的像素点信息，通过映射关系计算得到像素点在等效空气图像中的对应坐标信息，从而获得水下目标的等效空气图像。实验结果显示，文中所提算法较之现有图像转换算法，u方向图像转换误差均值由2.289 5降为1.213 3，降低47.01%，v方向图像转换误差均值由3.252 5降为1.526 3，降低53.07%。同时，测距误差均值由58.83 mm降为28.88 mm，降低50.91%。 |
| 关键词:
双目立体视觉
图像处理
折射模型
海洋光学
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| Study on Underwater Image Conversion Algorithm Based on Light Refraction Model |
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| CHEN Xuyang1, HE Yuyao1, ZONG Ruiliang2, LI Baoqi1, ZHAO Yaohua1 |
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1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Electronic and Information, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| Aiming at the problem of image distortion caused by light refraction during underwater imaging, and the conversion error caused by existing image conversion algorithms due to neglecting the secondary refraction of light, an underwater image conversion algorithm based on the light refraction model is proposed in this paper. The algorithm firstly obtains the pixel information of the underwater image, then calculates the corresponding coordinate information of the pixel points in the equivalent air image through the mapping relationship, and finally obtains the equivalent air image through image interpolation. Experimental results shows, compared with the existing image conversion algorithms, the proposed algorithm reduces the average error of u direction from 2.289 5 to 1.213 3, which is a decrease of 47.01%. The average error of v direction is reduced from 3.252 5 to 1.526 3, which is a decrease of 53.07%. At the same time, the mean value of ranging error was reduced from 58.83 mm to 28.88 mm, a decrease of 50.91%。 |
| Key words:
binocular stereo vision
underwater image processing
light refraction model
ocean optics
average error
ranging error
image conversion algorithms
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| 收稿日期: 2018-05-07
修回日期:
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| DOI: 10.1051/jnwpu/20193730471 |
| 基金项目: 国家自然科学基金（61271143）资助 |
| 通讯作者:
Email： |
| 作者简介: 陈旭阳(1993-),西北工业大学硕士研究生,主要从事计算机视觉与深度学习研究。
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