一种近岸红外目标快速分割方法

A Fast Inshore Infrared Target Segmentation

针对近岸红外目标分割的实时性需求,本文通过分析近岸红外图像的特点,对SBGFRLS分割模型进行了两方面改进:一是用基于相位谱的视觉注意机制替代SBGFRLS模型中的原始轮廓定位方法,突出了分割的针对性,减少了迭代次数;二是用近岸红外图像灰度直方图中的峰值常数替代SBGFRLS模型中的有关参数,节约了计算时间。实验结果表明,这种改进方法高效、准确,与SBGFRLS模型和其它几种常见的图像分割方法相比,大大提高了分割速度。

To satisfy time-sensitivity of inshore infrared target segmentation, we improved SBGFRLS segmentation model by analyzing the features of inshore infrared image. First, visual attention model based on phase spectrum is used to replace the locating method of original contour of SBGFRLS model which decreased segmentation field and iterations. Second, the peak values of grey level histogram of inshore infrared image are used to replace the parameters of SBGFRLS model which saved calculation time. Our experiments prove that the improved algorithm is feasible and greatly improves the speed of segmentation compared with SBGFRLS model and other common segmentation method.