Fraunhofer-gesellschaft Zur Foerderung Der Angewandten Forschung E.v.

Friedrich-alexander-universitat Erlangen-nürnberg

Friedrich-alexander-universitaet Erlangen-nuernberg

Stephan Rupp

Thomas Wittenberg

Christian Winter

Tobias Bergen

Klaus Spinnler

Dietrich Paulus

Christian Münzenmayer

Robert Couronné

Steffen Ruthotto

Thorsten Zerfass

Matthias Elter

Timo Schlarb

Andreas Kuleschow

Cornelia Arnold

Volker Daum

In a device and a corresponding method for joining a plurality of individual digital images to form a total image, a plurality of features is determined in a first individual image by means of a selection unit using a feature-based algorithm and then tracked in a second individual image by means of a tracking unit. A transformation matrix, with which the individual images are joined in an output unit to form the total image, is calculated from the determined feature correspondences in a transformation unit. The individual images can be joined in real time and with a high degree of accuracy by means of the feature-based algorithm in combination with a robust algorithm to calculate the transformation matrix.

Method and device for joining a plurality of individual digital images to form a total image

An illumination apparatus for an image sensor at the distal end of an endoscope includes an illumination carrier and a plurality of micro LEDs each including a main surface from which the emission is made, with a maximum lateral dilatation of less than 500 &#x3bc;m. The illumination carrier is associated with the distal end of the endoscope, and the plurality of micro LEDs are arranged on the illumination carrier such that with electrical excitation, the environment of the distal end of the endoscope is at least in some portions illuminated.

Illumination apparatus for an image sensing means at the distal end of an endoscope

Automated localization of a valid area of a blood smear and, thus, localization requiring less effort and being more objective is enabled in that a picture of the blood smear pixels are classified at least into first pixels, which represent blood cells, and second pixels, which do not represent the blood cells, and the valid area is then found on the basis of a local frequency of pixel clusters of at least Afirst pixels, Abeing a minimum threshold for a number of first pixels of a pixel cluster, and a local average size of the pixel clusters for laterally distributed areas of the blood smear.

Localization of a valid area of a blood smear

An image free from interfering structures may be generated by means of a fiber bundle of several optical fibers, when for the system of fiber bundle and sensor imaging parameters are provided, which describe the geometrical characteristics of the intensity course generated by each individual optical fiber on the sensor. In image reconstruction, for each individual optical fiber an amplitude value and/or luminosity information may be generated by fitting a function of the amplitude value and the imaging parameters of the respective optical fiber to an intensity picture of the sensor, so that an optimum amplitude and/or luminosity value may be generated considering the geometrical imaging characteristics for each individual optical fiber.

Method and device for generating a structure-free fiberscopic picture

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Forchheim, Germany

Stephan Rupp