Automatic Segmentation of Gallbladder Using Intuitionistic Fuzzy Based Active Contour Model

Abstract

The automatic and accurate image segmentation method is very essential requirement in image processing in various fields. Computer-based algorithms are needed to attain precise segmentation and classification results. In segmenting gallbladder, there are only very few automatic segmentation approaches. With a prima facie to exercise the fuzzy nature of energy equations, this work develops an intuitionistic fuzzy based active contour model for the process of segmenting B mode of ultrasound medical scan images. In preprocessing, histogram modification process and DooG filtering method were employed for amelioration of the quality of input image. Subsequently, task of boundary demarcation is performed by utilizing intuitionistic fuzzy based active contour model. The proffered method is validated by effectively comparing the inferred results over other conventional boundary demarcation techniques.