Abstract: The present invention relates to an apparatus (10) for scan direction detection and stitching sequence determination of a plurality of X-ray images, comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to provide the processing unit with a first X-ray image acquired by an X-ray image acquisition system, and the first image comprises image data of a patient. The input unit is configured to provide the processing unit with a second X-ray image acquired by the X-ray image acquisition system after it has moved with respect to the patient, and the second image comprises image data of the patient. The processing unit is configured to determine a top similarity value comprising a comparison of at least one region of image data of the patient at and/or adjacent to a top border in the first image with at least one equivalent sized region of image data of the patient at and/or adjacent to a bottom border in the second image.

Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an input image. A filter (FIL) of the system filters said input image to obtain a structure image from said input image, said structure image including a range of image values. A range identifier (RID) of the system identifies, based on an image histogram for the structure image, an image value sub-range within said range. The sub-range being associated with a region of interest. The system output through an output interface (OUT) a specification for said image value sub-range. In addition or instead, a mask image for the region of interest or for region or low information is output.

Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an input image. A filter (FIL) of the system filters said input image to obtain a structure image from said input image, said structure image including a range of image values. A range identifier (RID) of the system identifies, based on an image histogram for the structure image, an image value sub-range within said range. The sub-range being associated with a region of interest. The system output through an output interface (OUT) a specification for said image value sub-range. In addition or instead, a mask image for the region of interest or for region or low information is output.

Abstract: The invention relates to an apparatus (100) for processing a medical image (IM) of a structure of interest (SOI). The apparatus comprises a first unit (101) configured for decomposing the medical image (IM) into at least one band pass image (Bdl) and a low pass image (L); a user interface (102) arranged for enabling a user to specify an enhancement curve (EC) for the radiographic image (IM) based on at least one of (i) a metric structure length (l), (ii) a structure selectivity (s) and (iii) a structure enhancement strength (a); a second unit (103) configured for applying the enhancement curve (EC) to the at least one band pass image (Bdl) for generating at least one enhanced band pass image EBdl; and a third unit (105) configured for composing an enhanced medical image (EIM) based on the at least one enhanced band pass image (EBdl) and the low pass image (L). The invention also relates to a corresponding method of processing a medical image (IM).

Abstract: An image processing method and related apparatus. An image is decomposed into spatial frequency components images. The spatial frequency component images are normalized relative to specific noise models, remapped by a noise reduction function and are then combined to obtain a noise reduced version of the image.

Abstract: The invention relates to an apparatus (100) for processing a medical image (IM) of a structure of interest (SOI). The apparatus comprises a first unit (101) configured for decomposing the medical image (IM) into at least one band pass image (Bdl) and a low pass image (L); a user interface (102) arranged for enabling a user to specify an enhancement curve (EC) for the radiographic image (IM) based on at least one of (i) a metric structure length (l), (ii) a structure selectivity (s) and (iii) a structure enhancement strength (a); a second unit (103) configured for applying the enhancement curve (EC) to the at least one band pass image (Bdl) for generating at least one enhanced band pass image EBdl; and a third unit (105) configured for composing an enhanced medical image (EIM) based on the at least one enhanced band pass image (EBdl) and the low pass image (L). The invention also relates to a corresponding method of processing a medical image (IM).

Abstract: An image processing method and related apparatus. An image is decomposed into spatial frequency components images. The spatial frequency component images are normalized relative to specific noise models, remapped by a noise reduction function and are then combined to obtain a noise reduced version of the image.

Abstract: A method for the automatic reproduction of the colors of an original scene from an original image present as a color negative or diapositive film includes scanning the original image electronically, and storing the RGB color values of the image points as scanned transmissions or scanned densities. In the RGB color space, a gray straight line is determined, which approximates the cloud of points formed by the scanned densities of the image points in an optimum way. The transmissions are corrected by minimum transmission values in each case being subtracted from the scanned transmissions. Then, reconstructed film exposures are determined, whereby, by the gray straight line, film exposure straight lines are constructed that describe the relationship between the logarithmic film exposures and the corrected densities. Following the normalization of the film exposures to a standard image range, the film exposures are transformed into the LAB color space.