Abstract
Usually, there is a distinguishable sea-level line in the infrared sea image, where many possible objects can be found. While relative to varies kinds of objects, the sea-level line can be more easily detected, which makes the sea-level line detection a important step in object detection and recognition in infrared sea images. This paper proposed a fast sea-level line detection method, which estimated pixels of sea-level line through the gray characteristic of neighborhood of them, performed a preliminary sea-level line positioning by line fitting, and verified the results by the linear feature of sea surface edges. Based on the results of sea-level line detection, a fast object candidate detection method was introduced. Experimental results proved that the existing and position of sea-level line can be determined and preliminary object detection can be performed by the proposed method.
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