Abstract: The invention is directed to a device with which beam paths of at least two cameras mounted on a supporting frame are merged through a partial mirror to take three-dimensional pictures, wherein the partial mirror is preferably fixed to a mirror box and the mirror box is movable on guides associated with the supporting frame, and whereby the height of the optical axis of the camera(s) whose beam paths are being partly reflected in the mirror is adjustable. A first embodiment includes a device wherein the partial mirror is moveable about three axes. A second embodiment includes a device having a photo sensor in the camera and/or an optical compensation element arranged between or in the lens, and the photo sensor is adjustable. A third embodiment includes a device wherein only partial image areas can be read out from an image sensor.

Abstract: A method is disclosed for segmenting image data for detecting a liver of a subject under examination. In at least one embodiment, the method includes determining as rib pixels which represent a rib, determining pixels which delimit an area inside the rib cage, determining pixels which represent a pixel of the liver and determining a probability, for each pixel inside the rib cage, as to whether the pixel belongs to the liver or not, with the aid of a Random Walker method.

Abstract: The invention relates to a method for studying the surface composition of planar structures (1), wherein specific surface areas are first heated continuously in a controlled way by a heat source (2), which is moved along the surface, and a temperature measurement is performed after a predetermined time, in order to determine the cooling behavior. High precision can be achieved in that the surface areas which are heated by the heat source (2) are detected at multiple moments by a thermal imaging camera (3), in order to prepare a temperature profile of individual surface points. Furthermore, the present invention relates to a device for performing the method.

Abstract: Apparatus for the automatic positioning of at least two, or for the automatic selection from at least three cameras (K), coupled for three-dimensional image recording, including a device for distance measurement (EM), which is configured to measure the distances of relevant points (0) in the object space (OR) relative to the recording apparatus (A) and to supply corresponding output signals, wherein the relevant points (0) can be selected manually or automatically; a computer unit (RE), which is configured to calculate the parameters such as stereo base, swivel angle, correction parameters and internal parameters of the cameras (K) and/or a positioning device (P), to adjust the cameras (K) depending on the calculated parameters; and a switching apparatus (S), which together with the computer unit (RE) can form a single unit which can effect a selection of camera bundles depending on the size of the stereo base.

Abstract: In an impedance matching circuit selectively operable in a normal matching mode and a protection mode, the impedance matching circuit includes a set of reactances in a first reactance arrangement configured to transform an impedance of a load to an impedance within a range of a nominal impedance of an HF generator in the normal matching mode, and a PIN diode switch having a first invariable switching state in the normal matching mode and a second switchomg state that reconfigures the set of reactances into a second reactance arrangement in the protection mode, such that the second reactance arrangement is configured to transform the impedance of the load to prevent damage to the HF generator or to transmission circuitry arranged between the HF generator and the load.

Abstract: A method is disclosed for segmenting image data for detecting a liver of a subject under examination. In at least one embodiment, the method includes determining as rib pixels which represent a rib, determining pixels which delimit an area inside the rib cage, determining pixels which represent a pixel of the liver and determining a probability, for each pixel inside the rib cage, as to whether the pixel belongs to the liver or not, with the aid of a Random Walker method.