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

Friedrich-Alexander-Universitat Erlangen-Nürnberg

Thorsten Zerfass

Matthias Elter

Dirk Steckhan

Timo Schlarb

Thomas Wittenberg

Erik Hasslmeyer

Tobias Bergen

Dietrich Paulus

Christian Muenzenmayer

Christian Winter

Stephan Rupp

Christian Winer

Thomas Rehn

Christian MÜNZENMAYER

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.

Device and method for optimizing determining recording regions

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

A color value for an optical fiber of a fiberscope can be generated on the basis of the intensity values of a plurality of sensor elements of a sensor element arrangement that are sensitive to one spectral region each from a set of sensor spectral regions, if calibration values are provided for each of the spectral regions associated with the optical fiber. The intensity values of all sensor elements of the respective spectral region that are illuminated by the light guide can be combined with the provided calibration values, in order to obtain the color value associated with the optical fiber, which reproduces the color of the light transported by the optical fiber.

Device and method for compensating color shifts in fiber-optic imaging systems

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.

Method and apparatus for segmenting biological cells in a picture

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

In a method for calibrating a stage-camera system, a travel distance of a stage is determined in a first coordinate system and an object displacement distance of at least one object is determined in a second coordinate system. A calibration measure for calibrating the coordinate systems is computed from the travel distance and the object displacement distance. The object displacement distance is determined by registering a calibration image with a reference image based on the at least one object. The method enables an automatic and accurate calibration of the stage-camera system.

Method for calibrating a stage-camera system, and a stage-camera system

A method for determining a contour of an object in a digital image includes determining a preliminary object center and determining contour candidate image points. The contour candidate image points are determined as image points on a plurality of paths leading away from a preliminary object center by detecting a change from a first section to a second section on a feature space based on the image point value range of the digital image or by detecting the exceeding of a predetermined strength of a feature change in the feature space, wherein the contour candidate image points have a distance to the preliminary or to an improved object center and are ordered according to a polar angle. Further, the method includes determining zones of neighboring contour candidate image points within which a change of the distance of the contour candidate image points lies above a threshold value and an elimination of contour candidate image points which lie between the zones of neighboring contour candidate image points. Finally, a determination of the contour is executed on the basis of the remaining contour candidate image points.

Growing community of inventors

Nuremberg, Germany

Thorsten Zerfass