Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V.

Friedrich-Alexander-Universitat Erlangen-Nürnberg

Thomas Wittenberg

Tobias Bergen

Christian Muenzenmayer

Klaus Spinnler

Dietrich Paulus

Stephan Rupp

Christian Winter

Christian Münzenmayer

Thorsten Zerfass

Matthias Elter

Dirk Steckhan

Robert Couronné

Steffen Ruthotto

Heinz Gerhaeuser

Andreas Ernst

Frederik Zilly

Timo Schlarb

Michaela Benz

Andreas Kuleschow

Cornelia Arnold

Malte Avenhaus

Alexander Gryanik

Robert Schmidt

Heiko Kuziela

Matthias Grobe

Thomas Rehn

Christian MÜNZENMAYER

Christian KÜBLBECK

Nikita Shevchenko

Martin Raithel

Christian Dr-Ing Winter

Image processing device for producing in real-time a digital composite image from a sequence of digital images recorded by a camera device, in particular an endoscopic camera device, the image processing device including a selecting unit, a key point detection unit, a transforming unit and a joining unit, wherein the key point detection unit includes a maximum detection unit configured for executing following steps separately for the filter response for the reference image and for the filter response for the further image, wherein a variable threshold is used:i) creating blocks by dividing the respective filter response,ii) calculating the variable threshold for each of the blocks,iii) discarding those blocks of the blocks from further consideration, in which the respective filter response at a reference point of the respective block is less than the respective variable threshold.

Image processing device and method for producing in real-time a digital composite image from a sequence of digital images

Embodiments of the present invention relate to a method for generating a microscopy representation of a three-dimensional sample having a lateral extension in the x and y directions. The method has the following steps: a) arranging the flat three-dimensional sample on a positioner; b) recording the sample by means of an imaging device to obtain a first microscopy picture of the sample having a first section; c) altering the perspective onto the two-dimensional sample in the z direction; d) recording the sample by means of the imaging device to obtain a second microscopy picture of the sample having a second section; e) determining change information which allows drawing conclusions as to the change in perspective in the z direction, using a difference between the first and second microscopy pictures; and f) merging the first and second microscopy pictures while considering the change information to obtain the microscopy panoramic representation.

Method and device for generating a microscopy panoramic representation

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

A stability and, thus, also a quality of mosaic generation is improved by exploiting the advantages of global optimization while giving up performing the optimization fully on the basis of mutual alignment of the image information alone, i.e. on the basis of the result of a search for similarities, but when, additionally, information about error statistics of the capturing device, which took over portion-by-portion capturing of the object plane, is instead also taken into account in the positioning of the subimages in that a secondary constraint (secondary constraint) is set up for the capturing position variables in the optimization problem.

Mosaic picture generation

A device for determining objects in a color recording has an identifier, a feature extractor and a classifier. The identifier is implemented to identify the connected regions whose size or shape correspond to a predetermined condition from a plurality of connected regions existing in a binary image derived from a color recording based on a size or a shape of these connected regions. The feature extractor is implemented, for each of the identified connected regions, to extract a feature set from the color recording. The classifier is implemented to classify the identified connected regions into at least two disjunct groups based on the extracted feature sets for the identified connected regions.

Device and method for determining objects in a color recording

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

In a sensor system and a corresponding method for image capture of an object, an imaging sensor is arranged in a recording area of an optical sensor, the recording area being defined for the object, in such a way as to be essentially stationary relative to said object. By means of an evaluation unit, relative movements between the imaging sensor and the object can be derived from the recorded image data of the optical sensor, and a three-dimensional object image can be reconstructed from the imaging data as a function of the relative movements. When determining the relative movements, it is in particular possible as well to detect relative movements caused by the object's own motion which can be taken into account when reconstructing the object image. As a result, a high image quality of the object image is achieved.

Sensor system and method for image capture of an object

A method for the analysis of a biological sample for determining a change thereof relative to a healthy biological sample includes creating a first image of the biological sample at a first acquisition modality and creating a second image of the biological samples at a second acquisition modality. The first image is classified on the basis of a first pre-determined parameter, and the second image is classified on the basis of a second pre-determined parameter, the first image being classified independently of the second image. Then, depending on the classification results, it is determined if the biological sample comprises a change relative to a healthy biological sample.

Method for analyzing a biological sample

In a method for extracting texture features from a multichannel image, which comprises a plurality of pixels, information of at least two channels of the image is combined for each of the plurality of pixels, and one or several texture features are determined from the combined pixel information.

Method for extracting texture features from a multichannel image

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Erlangen, Germany

Thomas Wittenberg