改进的多分辨纹理图像分割算法

提出了一种改进的有监督纹理图像的分割算法。基于实际纹理图像是分割图像叠加了不规则噪声的假设,用被污染的高斯分布描述待分割的图像,并且利用多分辨模型得到代分辨层上的模型参数,从而实现由粗到细直到纹理图像的每个像素的分割。另外在禽域关联为先验信息利用上更为合理。所以这种方法不仅计算量小,而且分割结果也较为精确。

Modified Texture Segmentation Algorithm Based on Multiresolution Model

A modified texture image segmentation algorithm is proposed. Based on the assumption that the observed texture image is the sum of the segmentation image and the irregular corruptive noise, the texture image is modeled by a contaminated Gaussian distribution. By a multiresolution model, the corresponding parameters at lower resolution are computed. Then the multiresolution segmentation algorithm first segments texture images at coarse resolution and then progresses to finer resolutions until individual pixels are classified. In addition the use of neighborhood priori information is more reasonable. The method results in accurate segmentations and requires significantly less computation.