Multifractal Image Segmentation Based on Multi-weight Method
基于多重加权法的多重分形图像分割研究

Multifractal spectrum algorithm based on multi-weight method(MWM) was presented in a accordance with the presnt multifractal spectrum sensitive to the noises.The definition of multifractal spectrum based on measurement theory was introduced.The probability measure based on MWM was defined that can be used to estimate the multifractal spectrum.The capability of multifractal spectrum of MWM was analyzed.In the paper we analyzed the linear region,the anti-noise performance and the convergence of MWM compared to the Bottom interface and variance.The above approach showed that the noise can be reduced effectively and the fine property can be stressed.The local property of an image can remained much more and the weighted factor is converged quickly than the approach based on Bottom interface and variance.