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Research on Segmentation for Sidescan Sonar Image by Morphological Method  

Lee, Ji-Eun (Department of Information & Telecommunication Engineering, Soongsil University)
Shim, Tae-Bo (Department of Information & Telecommunication Engineering, Soongsil University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.2, 2012 , pp. 143-148 More about this Journal
Abstract
There are many researches on segmentation of sidescan sonar image to recognize or classify the underwater objects. Although existing algorithms's performance is good in detecting object's shadow and reducing the underwater noise, the computing time is very low. In this paper we try to separate shadow from background and segment the underwater image by using morphological method using background's noise distribution characteristics and object's shadow charateristics. This algorithm is useful when the average of background is lower than the average of the shadow, because this is adjusted from the background's chracteristics. Results shows that the algorithm works fine in multiple object environments and the computing time is reduced to 1 second.
Keywords
sidecan sonar image; segmentation; image processing; morphology;
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  • Reference
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