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Study on XBT Probe Detection and Recognition Based on the Shape Feature
Author(s): 
Pages: 27-31
Year: Issue:  1
Journal: Ocean Technology

Keyword:  XBTimage processingtarget recognitionshape feature;
Abstract: In order to improve the fall rate equation of domestic-made XBT, it is necessary to measure and analyze its movement parameters based on image processing. To extract the targets of XBT probes accurately and rapidly from the complex background, a novel method for auto-detection and auto-recognition is proposed based on the shape feature. After background noises are eliminated by background subtraction, the appropriate threshold is selected and the binary images of difference images are obtained. The connected components of a binary image are labeled and a binary image is divided into several independent regions. On the basis of each region ’s eccentricity, compactness and signature, an overall fuzzy evaluating method is adopted to recognize the XBT probes by calculating each region ’s characteristic function. Then the method is validated through physical experiments. The results demonstrate that the target of XBT probes could be well detected and recognized by the overall fuzzy evaluating method under complex background, and this method can effectively extract XBT probes from image sequences, providing a theoretical and experimental foundation for the measurement of XBT movement parameters.
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