关键词: 二维经验模式分解, 固有模态函数, 灰度共生矩阵, 合成纹理, 遥感图像, 基于核的模糊C-均值聚类, 图像分割, ,

Abstract: A new method is proposed for image feature extraction with Bidimensional Empirical Mode Decomposition（BEMD） and Gray Level Co-occurrence Matrix.Namely the image is disassembled into the Intrinsic Mode Function（IMF） domain，then the feature of each IMF is extracted with Gray Level Co-occurrence Matrix method.To validate the availability of the arithmetic，authors extract the feature of the complex texture and the SAR image on pixel level.And achieving the image segmentation with KFCM，the segmentation result of images validates that the method is effective.

Key words: Bidimensional Empirical Mode Decomposition（BEMD）, Intrinsic Mode Function（IMF）, Gray Level Co-occurrence Matrix, complex texture, SAR image, Kernel-based Fuzzy C-Means（KFCM）, image segmentation