Abstract: A new algorithm of infrared ship wake detection based on fusion of Gabor filter and local information entropy was proposed to solve the problem that the infrared image of ship wake is easily disturbed by the sea clutter,the contrast is low,and the image can not be identified by the traditional method.First of all,the contrast between the wake and the sea background is calculated by using the gray level co-occurrence matrix to determine whether there is a ship wake in the region,and the region of interest is extracted to improve the processing speed of the algorithm.Secondly,multi direction Gabor filter and local information entropy are used for feature fusion to realize the feature enhancement of ship wake.Finally,the infrared ship wake detection is realized by threshold segmentation and Hough transform.Experimental results show that this method can effectively preserve the texture features and details of ship wake,and accurately extract the complete wake edge,which greatly improves detection rate.

Key words: Gabor filtering, Gray level co-occurrence matrix, Hough transform, Local information entropy, Ship wake detection