【摘要】 针对彩色结肠镜图像,提出一种融合颜色、亮度、空间距离和纹理信息,采用随机聚类的彩色图像分割新算法。该算法采用分形维作为图像纹理特征的度量,用一种基于元素间的相似性的随机聚类方法对特征空间进行聚类。该聚类算法是基于对图中的切割进行采样的新的图论算法,可以自动获得最佳的分类数目。更多还原

【Abstract】 Aiming at color colonoscopic images, a new algorithm for segmenting color colonscopic images by fusing color, brightness, spatial distance and texture information and then by stochastic clustering is presented. It makes the fractal dimension (FD) as the measurement for texture feature in images. It applies a stochastic clustering algorithm that uses pairwise similarity of elements. The clustering algorithm that is based on a new graph theoretical algorithm for the sampling of cuts in graphs, can obtain the optimal number of clusters automatically.更多还原