Abstract: 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.

Abstract: 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.

Abstract: In a method and a device for the segmentation of a lesion, a quantity of candidate regions for the lesion is determined proceeding from a starting region by means of a candidate unit. The candidate regions are arranged substantially concentrically to the starting region. A candidate region closest to the lesion is selected automatically by means of a selection unit or manually by means of a correction unit from the quantity of candidate regions. The selected candidate region is a reliable and robust basis for a classification of the lesion.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: In a method and a device for the segmentation of a lesion, a quantity of candidate regions for the lesion is determined proceeding from a starting region by means of a candidate unit. The candidate regions are arranged substantially concentrically to the starting region. A candidate region closest to the lesion is selected automatically by means of a selection unit or manually by means of a correction unit from the quantity of candidate regions. The selected candidate region is a reliable and robust basis for a classification of the lesion.

Abstract: Apparatus for segmenting microcalcifications in a mammographic image having a bandpass filter for bandpass filtering the mammographic image obtaining the filtered mammographic image, a marker and a processor for individual processing. The marker marks image points in the filtered mammographic image as potential regions of microcalcifications when a they exceed or fall below a predetermined threshold. The processor for individual processing processes one of the regions of adjacent marked image points for changing an extension of the one region for illustrating a segmentation of microcalcifications.

Abstract: 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.

Abstract: 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.

Abstract: 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.