Active contour model, also called snakes, is a framework in computer vision introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos for delineating an object outline from a possibly noisy 2D image.
- What is snake active contour?
- What is active contour segmentation?
- What is snake model?
- What is the purpose of morphological snakes in image processing?
What is snake active contour?
The active contours technique, also called snakes, is an iterative region-growing image segmentation algorithm. Using the active contour algorithm, you specify initial curves on an image and then use the activecontour function to evolve the curves towards object boundaries.
What is active contour segmentation?
Active contour is a type of segmentation technique which can be defined as use of energy forces and constraints for segregation of the pixels of interest from the image for further processing and analysis. Active contour described as active model for the process of segmentation.
What is snake model?
The basic snake model that gives an elegant method to simulate an elastic material which can dynamically conform to local image features. It has two main features: (1) a large number of control points that define the curve and (2) an explicit formulation of the smoothness constraint.
What is the purpose of morphological snakes in image processing?
The Morphological Snakes are a family of related methods for image-guided evolution of curves and surfaces represented as a level-set of an embedding function. They have application in several computer vision areas, such as tracking and image segmentation.