Texture Analysis of Cell Nucleus Surfaces Based on Fractal Features
基于分形特征的细胞核表面纹理分析

An improved approach of estimating fractal dimension by partition iterated function system (PIFS) is proposed, which is used to analyze the different texture surfaces of bone marrow granulocytic cell nuclei in the different maturation stages. Based on contractive affine transformations, a PIFS for cell nucleus gray-level image is constructed, scale coefficients, domain factors and a scale factor are obtained from PIFS and used to calculate the fractal dimension. In this paper, the evolution of computational methods of domain factor and scale coefficient is used to overcome fractal dimensions overestimated. In order to testify the validity of the proposed method, there are 60 images of different types of cell nuclei to be applied to the experiment. The results show that fractal parameters obtained by our method are able to differentiate with the different types of cell nucleus texture surfaces efficiently, they can be used to the recognition of cells as new features.