Hybrid Hermitien Model for Skin Burn Images Segmentation

摘要

Propose a method of image segmentation by matrix of the Hermitien and the characteristics of the function of Gamma. The proposed method Hermitien Model Consists of three different models, Each model has its characteristics and attributes to this named method (Hybrid Hermitien Model). The database was used for images containing skin burns at different levels. The three types of the proposed hybrid model were compared by a series of statistical transactions and by the chromatic chromatography of the most affected pixels. The segmentation areas image were determined by analyzed the statistical character of skin burns images. The experimental results showed the feasibility of the proposed (Hybrid Hermitien Model). The proposed method helps in analyzer components and automatic skin burn segmentation areas image detection.