Thresholding is one of the most widely used techniques for image segmentation, particularly, for medical image segmentation. The key idea is the selection of an appropriate intensity value to differentiate the background pixels from the object of interest pixels. In this paper, we propose a method for segmentation of the healthy gallbladder from a computed tomography (CT) scan image by integrating rough entropy thresholding technique along with contour and convex hull operations. Our method has been found to perform significantly better than other competing methods.