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

Dirk Steckhan

Thorsten Zerfass

Matthias Elter

Thomas Wittenberg

Tobias Bergen

Christian Muenzenmayer

Dietrich Paulus

Timo Schlarb

Christian MÜNZENMAYER

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

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.

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Munich, Germany

Dirk Steckhan