Medical image segmentation by improved 3D adaptive thresholding

To see CT and MRI medical images of slice type easily, or to print using 3D printer, we should make a 3D model from slice images. In this paper, we suggest the Improved Adaptive Segmentation Algorithm which can perform the segmentation process which is the most important process at making 3D model. The adaptive threshold method can detect object boundary effectively in an image luminance bias, but tends to diverge at flat region. The proposed algorithm checks the bimodality at histogram distribution and makes adaptive threshold algorithm works stably.