An Adaptive Image Segmentation Method Based on the Level Set

An adaptive gray value of image segmentation method aimed at uneven gray-level image segmentation was proposed. The innovative method combined target image with the gray value of background information according to level set theory with the adaptive linear fitting of global and local information. And then, image segmentation was conducted to avoid being trapped in the local optimum. The experimental results showed that the proposed method could resist noise effectively with the capacity of adaptive image uneven gray level information. As a result, The global optimal image segmentation was obtained. Theoretical analysis suggested that the proposed method not only can be used to cut up the real image but also can be well applied to MRI segmentation.