Abstract: A method for parameterizing a scene having a surface, on which at least two objects are disposed, using a camera disposed at a distance from the objects. The method includes: a) using the camera, producing an image of the scene, the image containing image data regarding the objects; b) recognizing at least two objects in the image by evaluation of the image data and assigning each recognized object to a specific object class; c) estimating an object size of each of the at least two recognized objects in accordance with at least one surface parameter characterizing the surface; d) for each of the at least two objects: calculating an individual probability that the object has the object size estimated in measure c); e) calculating a scene probability from the at least two calculated individual probabilities.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. In a first step user defined labels are determined for one or more pixels of the image. Then a fraction of the pixels of the image for which no user defined label is determined is pre-initialized. Finally, a cellular automaton-based segmentation of the image is performed using the user defined labels and the pre-initialized pixels.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. First an energy function is determined for the image. Then for a homogeneous region of the image variables of the energy function are grouped to a single variable. Subsequently the energy function is minimized and labels are assigned to regions of the image based on the minimized energy function.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. In a first step user defined labels are determined for one or more pixels of the image. Then a fraction of the pixels of the image for which no user defined label is determined is pre-initialized. Finally, a cellular automaton-based segmentation of the image is performed using the user defined labels and the pre-initialized pixels.

Abstract: A method and an apparatus for multi-label segmentation of an image are described. First an energy function is determined for the image. Then for a homogeneous region of the image variables of the energy function are grouped to a single variable. Subsequently the energy function is minimized and labels are assigned to regions of the image based on the minimized energy function.