Texture Segmentation Based on the Oscillatory Feature
基于振动特征的纹理图像分割

Texture segmentation is a typical difficult problem in image processing. This paper presents a new textural oscillatory feature based on image decomposition. The oscillatory feature together with other textural features based on the structure tensor and nonlinear diffusion constructs a 5 dimensional textural feature space. The last result can be obtained by segmenting the feature space using level set and non-parametric active contours technology. The validity of the method in this paper is proved by different texture segmentation tests.