Fundamental Study of Segmentation to the Fetal In Ultrasound Images Using SuperVoxel

Abstract

In this pape r, we proposed a segmentation method to the fetal in ultrasound im ages using SuperVoxel and GraphCut. We use a SuperVoxel algorithm, simple linear iterative clustering (SLIC), to cluster pixels which have near values and similar 3D coordinates into a SuperVoxel. We generate a graph using the SuperVoxels clustered by SLIC and cut the graph to get some parameters which are used to check whether the baby is healthy. We test our segmentation method in the ultrasound images which are taken from a phantom The result of the segmentation is quite good and the accuracy rate is re ally high.