Abstract: 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.

Abstract: What is provided is a system for visualizing digitalized image data having an image data source and an image data sink. The image data are associated to at least two different layers, wherein, for at least one of the layers as the reference layer, image data is present in at least two different resolutions. The layers show a common scene at different conditions of taking a picture. The image data source is configured to transfer to the image data sink image data of the reference layer in the at least two different resolutions in a prioritized manner relative to the image data of layers different from the reference layer. The image data source is configured to transfer to the image data sink, in a reload case where the image data source has transferred the image data of the reference layer to the image data sink at a presettable reference resolution, the image data of a presettable number of layers different from the reference layer in at least one presettable reload resolution.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 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.

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: A method for detecting an object on an image representable by picture elements includes: “determining first and second adaptive thresholds for picture elements of the image, depending on an average intensity in a region around the respective picture element”, “determining partial objects of picture elements of a first type that are obtained based on a comparison with the first adaptive threshold”, “determining picture elements of a second type that are obtained based on a comparison with the second adaptive threshold” and “combining a first and a second one of the partial objects to an extended partial object by picture elements of the second type, when a minimum distance exists between the first and the second of the partial objects, wherein the object to be detected can be described by a sum of the partial objects of picture elements of the first type and/or the obtained extended partial objects”.

Abstract: 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.

Abstract: In a method and an apparatus for detecting various cells types of cells in a biological sample, an image of the biological sample is provided. This image is normalized with regard to a distribution of the image values, and the normalized image is subsequently divided into a plurality of image sections. Each image section is associated with a predetermined class in dependence on predetermined properties of the image section. In each image section, the individual cells are detected, and features of these individual cells are determined. Subsequently, the individual cells are associated with a specific cell type on the basis of the features detected.

Abstract: 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.

Abstract: In a method for separating a cell group contained in an image of a sample into individual cells for a subsequent classification of the sample, wherein the cell group has a plurality of mutually overlapping cells, first a cell nucleus of a first cell which is to be separated from the cell group is selected, wherein the cell nucleus is located adjacent to a cell nucleus of a second cell. The cell plasma of the first cell and the cell plasma of the second cell overlap such that a common cell plasma is formed. Subsequently, a contraction of the common cell plasma between the cell nucleus of the first cell and the cell nucleus of the second cell is determined. At the contraction, a separation of the common cell plasma is performed. Subsequently, an area of the common cell plasma is determined in which the overlapping of the cell plasmas of the two cells is expected.

Abstract: 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.