Object identification in images acquired through underwater turbulent media

机译：通过水下湍流介质获取的图像中的目标识别

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Images acquired through underwater turbulent media make the image processing tasks in image restoration and object identification challenging. Turbulence in water is associated with random fluctuations of temperature and salinity. These fluctuations are responsible for changing the refractive index, for attenuating illumination, imposing geometric distortions and space-variant blur on images, thus making object identification more difficult. In this paper, we propose a patch-wise deconvolution procedure for removing the space-variant blur from images for restoration purpose prior to resolving the object identification issue. The deconvolution procedure is aided with an image alignment procedure for obtaining better results. Next, an image segmentation algorithm based on fuzzy clustering is considered for object identification. Computational experiments are conducted using a real-world dataset to demonstrate the efficiency of the proposed method.

机译：通过水下湍流介质获取的图像使图像恢复和物体识别中的图像处理任务具有挑战性。水中的湍流与温度和盐度的随机波动有关。这些波动负责改变折射率，衰减照明，在图像上施加几何畸变和空间变化模糊，从而使物体识别更加困难。在本文中，我们提出了一种分片式反卷积程序，用于在解决对象识别问题之前从图像中去除空间变异模糊以进行恢复。去卷积过程辅以图像对准过程以获得更好的结果。接下来，考虑基于模糊聚类的图像分割算法进行目标识别。使用实际数据集进行了计算实验，以证明所提出方法的效率。

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来源
《Environmental effects on light propagation and adaptive systems》|2018年|107870I.1-107870I.11|共11页
会议地点 Berlin(DE)
作者
Md. Hasan Furhad; Murat Tahtali; Andrew Lambert;
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作者单位

School of Engineering and Information Technology, University of New South Wales, Canberra,ACT, 2612, Australia;

School of Engineering and Information Technology, University of New South Wales, Canberra,ACT, 2612, Australia;

School of Engineering and Information Technology, University of New South Wales, Canberra,ACT, 2612, Australia;

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原文格式 PDF
正文语种 eng
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关键词
Underwater turbulence; image restoration; image segmentation; object identification;

机译：水下湍流；图像恢复；图像分割对象识别;

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1. Underwater object identification and recognition with sonar images using soft computing techniques [J] . Anitha U., Malarkkan S. Indian Journal of Marine Sciences . 2018,第3期

机译：使用软计算技术通过声纳图像对水下物体进行识别和识别
2. Object imagery and object identification: object imagers are better at identifying spatially-filtered visual objects [J] . Manila Vannucci, Giuliana Mazzoni, Carlo Chiorri, Cognitive Processing . 2008,第2期

机译：物体成像和物体识别：物体成像器更擅长识别经过空间过滤的视觉物体
3. Underwater reflectance transformation imaging: a technology for in situ underwater cultural heritage object -level recording [J] . Selmo David, Sturt Fraser, Miles James, Journal of electronic imaging . 2017,第1期

机译：水下反射率转换成像：用于水下水下文化遗产物体级记录的技术
4. Object identification in images acquired through underwater turbulent media [C] . Md. Hasan Furhad, Murat Tahtali, Andrew Lambert SPIE Conference on Environmental Effects on Light Propagation and Adaptive Systems . 2018

机译：通过水下湍流媒体获取的图像的对象识别
5. Underwater Object Identification with Electric Field Sensing [D] . Bai, Yang 2015

机译：电场感应水下物体识别
6. A Fast Image Deformity Correction Algorithm for Underwater Turbulent Image Distortion [O] . Min Zhang, Yuzhang Chen, Yongcai Pan, 2019

机译：水下湍流图像畸变的快速图像畸变校正算法
7. Visibility Recovery on Images Acquired in Attenuating Media. Application to Underwater, Fog, and Mammographic Imaging [O] . Galdran Adrian 2015

机译：在衰减媒体中获取图像的可见性恢复。应用于水下，雾和乳腺摄影成像
8. Underwater Object Identification in Laser Line Scan Imagery. [R] . Coles, B. 1999

机译：激光线扫描图像中的水下目标识别。

Object identification in images acquired through underwater turbulent media

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