Abstract: A device for establishing one or several recording regions from an image region is provided. The device includes a neighborhood determining unit for determining whether two objects of the image region are neighboring. Additionally, the device includes a graph set determining unit for determining a graph set such that the graph set includes one or several complete graphs, each element of the complete graph being neighboring to every other element of this complete graph. Furthermore, the device includes a selection set determining unit configured to add a complete graph to the selection set when one of the elements of an object set is included by precisely this one of the complete graphs of the graph set. In addition, the device includes a recording region determining unit for determining the one or several recording regions based on the complete graphs of the selection set.

Abstract: An apparatus includes an object for sitting or lying on, a plurality of sensors arranged within the object for sitting or lying on, and a signal processing unit connected to the sensors. The signal processing unit is provided to generate, on the basis of the sensor signals, an output signal which describes a posture and/or a movement of a person using the object for sitting or lying on. The generated output signal indicates a center of gravity of the person and/or a physiological process occurring in the person.

Abstract: A method of segmenting biological cells in a picture so that the biological cells represent a foreground of the picture includes a step of applying a first fast marching algorithm to the picture or to a pre-processed version of same in order to obtain a first fast marching image. In addition, the method includes a step of segmenting the first fast marching image or a further-processed version of same into a plurality of homogeneous regions. Furthermore, the method includes a step of mapping each of the homogeneous regions to one node of a graph, respectively. In addition, the method includes a step of classifying each homogeneous region either as background or foreground on the basis of the graph. Moreover, the method includes a step of applying a second fast marching algorithm within the homogeneous regions classified as foreground so as to segment the foreground into individual biological cells.

Abstract: A method of segmenting biological cells in a picture so that the biological cells represent a foreground of the picture includes a step of applying a first fast marching algorithm to the picture or to a pre-processed version of same in order to obtain a first fast marching image. In addition, the method includes a step of segmenting the first fast marching image or a further-processed version of same into a plurality of homogeneous regions. Furthermore, the method includes a step of mapping each of the homogeneous regions to one node of a graph, respectively. In addition, the method includes a step of classifying each homogeneous region either as background or foreground on the basis of the graph. Moreover, the method includes a step of applying a second fast marching algorithm within the homogeneous regions classified as foreground so as to segment the foreground into individual biological cells.