摘要
图像分割技术在图像处理和计算机视觉中具有重要意义。首先介绍了一维Otsu方法和模糊阈值分割算法的基本原理。针对坦克红外图像目标——景间对比度较小,边缘模糊等特点,提出了一种结合图像空间相关信息的自适应模糊阈值分割算法。实验结果表明,该算法具有更好的分割效果和更强的鲁棒性。
Image segmentation is an important technique for image processing and computer vision.The principles of 1-D Otsu algorithm and thresholding through index of fuzziness are described.Since the infrared images of tank have low object-background contrasts and blurred boundaries,an adaptive method for image thresholding through index of fuzziness,which is combined with the spatial correlative information,is proposed.The results of experiments prove that the presented algorithm has better performance and better robustness against noise.
出处
《红外与激光工程》
EI
CSCD
北大核心
2007年第z2期275-278,共4页
Infrared and Laser Engineering
关键词
图像分割
模糊阈值
空间相关信息
Image segmentation
Fuzzy threshold
Spatial correlative information
