Active contour on the basis of inertia

This paper present a method for image segmentation, which is an adaptation of the classical active contours algorithm, also called "snakes", using a new internal energy approach. The classical model computes the energy function based on changes in gradient values, thus determining the detection of the object's edges. In the proposed model, the active contour moves attracted or repelled by its mass center, thus keeping the inertia towards shape compression or expansion. This represents an intuitive, simple and efficient scheme that constitutes an alternative to classical segmentation methods.