关键词: 纹理分割, 四元数, EMD分解, Gabor滤波器, 时频分析

Abstract:

This paper presented an unsupervised texture segmentation algorithm utilizing EMD(Empirical Mode Decomposition) refined quaternionic spectrum. The innovations include: first, 2-D separable EMD algorithm was utilized to enhance the separability of features in frequency-domain; second, a quaternionic Gabor filter bank was designed to extract analytic features; at last, a novel validity function of FCM(Fuzzy C-Means Clustering) was introduced to realize unsupervised texture segmentation. Experiment results indicate that this method explores a reasonable way to use EMD and quaternionic spectrum analysis in image processing.

Key words: texture segmentation, quaternion, EMD(Empirical Mode Decomposition), Gabor filter, time-frequency analysis