Brain edema segmentation based on morphological multi-scale modification
Chengyi Wang · Chinese Journal of Stereology and Image Analysis · 2013
Brain CT image structure is very complicated,moreover,very uneven in gray scale.Implementing direct watershed segmentation may lead to more serious over-segmentation.Using threshold marker controlled watershed segmentation may restrain the over-segmentation problem to a considerable extent.However,it is prone to problems of inaccurate target marking.In this paper,we propose a marker-controlled watershed segmentation method based on morphological multi-scale modification.We begin by linear stretching the original image to enhance its indexes.It enhances the contrast of the brain edema and normal area.Then based on the morphological gradient images,determine the scale of the structural elements according to the different pixel gradient values.The morphological multi-scale image correction eliminates the local minimum area,thus guarantees that the target contour or outline correction process does not produce major displacements.Finally,marker-controlled watershed image segmentation is then effected.Experiments show that this method has a higher accuracy of segmentation of edema region in brain CT images.