A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model

We propose an algorithm for segmentation of grayscale images. Our algorithm computes a solution to the convex, unconstrained minimization problem proposed by T. Chan, S. Esedo

• Type: Conference
• Year: 2008
• Where: IPCV
• Authors: Rick Chartrand, Valentina Staneva
• Keywords: Algorithm, Gradient Descent, Image Processing, IPCV 2008, Mumford-Shah Segmentation