Publisher : Lecture Notes in Computational Vision and Biomechanics
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2019
Segmenting the anatomical parts of the human brain from MRI is a challenging task in medical image analysis. There is no evident scale for the distribution of intensity over a region in medical images. Region growing is performed to generate a mask to segment the anatomical parts from MRI. A new tailored version of dilation is used in renovating the segmentation mask. This custom-made dilation differs from typical dilation in computation. The structuring element size is fixed, and the anchor point norm is changed from usual dilation. The neighborhood evaluation is made only for certain pixels that are satisfied by the proposed constraints; thus, estimation is not made throughout the image. The computation of the classical dilation is reduced with the proposed custom-made dilation. © Springer Nature Switzerland AG 2019.