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Target Emphasis Algorithm in Image for Underwater Acoustic Signal Using Weighted Map  

Joo, Jae-Heum (부산가톨릭대 멀티미디어학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.11, no.3, 2010 , pp. 203-208 More about this Journal
Abstract
In this paper, we convert underwater acoustic signal made by sonar system into digital image. We propose the algorithm that detects target candidate and emphasizes information of target introducing image processing technique for the digital image. The process detecting underwater target estimates background noise in underwater acoustic signal changing irregularly, recomposes it. and eliminates background from original image. Therefore, it generates initial target group. Also, it generates weighted map through proceeding doppler information, ensures information for target candidate through filtering using weighted map for image eliminated background noise, and decides the target candidate area in the single frame. In this paper, we verified that proposed algorithm almost had eliminated the noise generated irregularly in underwater acoustic signal made by simulation, targets had been displayed more surely in the image of underwater acoustic signal through filtering and process of target detection.
Keywords
Underwater Acoustic Signal; Background Estimation; Target Enhancement;
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