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Proceedings Paper

Stereo image segmentation with application in underwater fish detection and tracking
Author(s): Dimitrios Charalampidis; Madhuri Gundam; George E. Ioup; Juliette W. Ioup; Charles H. Thompson
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Paper Abstract

Most often, background subtraction and image segmentation methods use images or video captured using a single camera. However, segmentation can be improved using stereo images by reducing errors caused due to illumination fluctuations and object occlusion. This work proposes a background subtraction and image segmentation method for images obtained using a two camera stereo system. Stereo imaging is often employed in order to obtain depth information. On the other hand, the objective of this work is mainly to extract accurate boundaries of objects from stereo images, which are otherwise difficult to obtain. Improving the outline detection accuracy is vital for object recognition applications. An application of the proposed technique is presented for the detection and tracking of fish in underwater image sequences. Outline fish detection is a challenging task since fish are not rigid objects. Moreover, color is not necessarily a reliable means to segment underwater images, therefore, grayscale images are used. Due to these two reasons, and due to the fact that underwater images captured in non-controlled environments are often blurry and poorly illuminated, commonly used local correlation methods are not sufficient for stereo image matching. The proposed algorithm improves segmentation in several scenarios including cases where fish are occluded by other fish regions. Although the work concentrates on segmenting fish images, it can be employed in other underwater image segmentation applications where visible-light cameras are used.

Paper Details

Date Published: 22 May 2015
PDF: 9 pages
Proc. SPIE 9476, Automatic Target Recognition XXV, 94760H (22 May 2015); doi: 10.1117/12.2177648
Show Author Affiliations
Dimitrios Charalampidis, Univ. of New Orleans (United States)
Madhuri Gundam, Univ. of New Orleans (United States)
George E. Ioup, Univ. of New Orleans (United States)
Juliette W. Ioup, Univ. of New Orleans (United States)
Charles H. Thompson, NOAA Southeast Fisheries Science Ctr., Stennis Space Ctr. (United States)

Published in SPIE Proceedings Vol. 9476:
Automatic Target Recognition XXV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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