Sea-sky-line detection is an important component involved in the target tracking under the condition of sea-sky background. Considering the diversity of the sea-sky background

this paper first analyzes the disadvantages of some existing algorithms

and then a better adaptability sea-sky-line extraction algorithm is presented. First

median filter is used to eliminate noise such as cloud and sea clutter and other noise

and then Hough transform based on phase grouping is used to extract the sea-sky-line. As the algorithm combines the advantages of both the phase grouping and the Hough transform

it can not only extract the sea-sky-line under low-contract

but also has strong anti-interference

and overcome its own shortcomings of phase grouping and Hough transform. The experimental results show that the method can extract the sea-sky-line from the simple and complex background. Through lots of experiments

the results proved that this algorithm is adaptability

robustness

accurate positioning

reducing the complexity of the follow-up target tracking.