Liver hydatid CT image segmentation based on localizing region active contours and modified parametric active contours

Liver hydatid disease is a common parasitic disease in farm and pastoral areas and seriously damages people´s health. Based on CT imaging features of this disease, we perform experiments on the segmentation of the Liver hydatid CT image. The experimental results show that: according to the intensity distribution characteristics expressed by different tissues in liver hydatid CT image, localizing region active contours and modified parametric active contours is practical to liver and hydatid lesions segmentation simultaneously from liver hydatid CT images. we obtain the optimal segmentations and improve the internal and external statistical smoothness of liver hydatid CT image by adjusting local selected area size and a reasonable location dimension should be commonly employed because of the sensitive of the initialization.