Segmentation of Infrared Image of Harbor Background Based on Fractal Theory and Gabor Transform
基于分形理论和Gabor变换的港口背景红外图像分割

In order to segment an infrared image with a complex harbor background effectively, rapidly and accurately, an infrared image segmentation method based on fractal theory is proposed. Firstly, the segmentation method uses the Otsu to segment the raw infrared image coarsely on the basis of the fractal processing. Then, it uses the Garbor transform and Garbor multichannel filters to extract the harbor contour in the image. Finally, it uses the median filter to filter the noise and hence obtain the true harbor contour image. The experimental result shows that the proposed method is feasible and effective.