多尺度形态梯度和标记分水岭的时频谱图分割

摘要

It is important and difficult to segment a time‐frequency spectrogram due to its strong interfer‐ence as well as serious overlap among targets and between targets and interference .An image entropy based fusion method for multi‐scale morphological gradient image of a time‐frequency spectrogram is presented .By combining that method with the marked watershed algorithm ,a method for segmenting time‐frequency spectrogram based on the multi‐scale morphological gradient image and the marked wa‐tershed algorithm ,is obtained .The experiment results show that it is more practical than the segmenta‐tion method which is based on single scale morphological gradient and marker watershed ,and more accu‐rate than Otsu method .%时频谱图干扰强，目标之间、目标与干扰之间有重叠，其分割是重要而困难的问题。提出一种基于图像熵定义的时频谱图多尺度形态梯度图像融合方法，将该方法与标记分水岭分割结合形成一种基于多尺度形态梯度和标记分水岭的时频谱图分割方法。实验结果表明，与基于单尺度形态梯度和标记分水岭的分割方法相比，新方法实用性更强；与 O tsu法相比，新方法分割更准确。