【作者】 刘泓； 莫玉龙；

【Author】 Liu Hong Mo Yulong School of communication and information engineering,Shanghai University Jiading campus 201800

【机构】 上海大学嘉定校区通信与信息工程学院；

【摘要】 本文提出一种鲁棒的有监督纹理图象的分割算法。基于实际纹理图象是分割图象迭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象。并且利用多分辨模型得到低分辨层上的模型参数,从而实现由粗到细直到纹理图象的每个象素的分割。本文方法不仅计算量小而且分割结果也是较精确的。更多还原

【Abstract】 A robust texture image segmentation algorithm is proposed in this paper.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.Using 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.The method results in accurate segmentations and requires significantly less computation.更多还原