基于分形理论和Gabor变换的港口背景红外图像分割

为了对复杂港口背景的红外图像进行有效、快速和准确的分割，根据分形理论的思想，在对红外图像进行分形处理的基础上，先运用最大类间方差法(Otsu)对红外原始背景图像进行粗分割，然后运用Gabor变换和Gabor多通道滤波器提取港口背景轮廓，最后使用中值滤波滤除噪声，得到最终的港口背景轮廓图像。通过对实际港口背景的红外图像进行分割实验，验证了所提方法的可行性和有效性。

Segmentation of Infrared Image of Harbor Background Based on Fractal Theory and Gabor Transform

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.