Segmentation of Image Feature Using Level Set–Contour Region Based Segmentation Algorithm

Level set-contour region based segmentation methods are the numerical techniques for tracking interfaces and shapes. They have been successfully used in image segmentation. It consists of an internal energy term that penalizes deviations of the level set function from a signed distance function, and an external energy term that drives the motion of the zero level set toward the desired image feature. The energy to be re-formulated in a local way. It considers local rather than global image statistics and evolves a contour based on local information. Localized contours are capable of segmenting objects with heterogeneous feature profiles that would be difficult to capture correctly using a standard global method.