Abstract: The invention relates to the field of digital image processing and can find use in suppression of noise in digital images, formed by high-energy radiation, including X-ray radiation. Specifically, the invention relates to a method for suppression of noise in digital x-ray images. The objective of the invention is to provide a method for noise suppression in digital X-ray images that has extended functionality, specifically, a method that makes it possible to reduce residual noise level and amount of artifacts in the form of discontinuities, directed along local orientation of object borders in textured image areas, to reduce residual LF noise level, and to eliminate over-smoothing (excessive filtering) of fine details. The technical innovation achieved is the improvement of digital image processing quality.

Abstract: The invention relates to the area of X-ray engineering, medical diagnostic and nondestructive methods of testing which deal with x-ray visualization and image acquisition and, can be used for x-ray flat panel imaging detectors. The detector includes a sensor array of photosensitive elements arranged on a common substrate. Increase of the detector design manufacturability, provision of photosensitive surface flatness is achieved by production of the detector in which the assembly of each photosensitive element is performed in calibration device comprising an easy-to-remove assembly for setting the given element thickness. Each photosensitive element is an assembly unit comprising a photosensitive plate and a substrate wherein an elastically deformed interlayer is arranged and fixed between them by means of adhesive. The photosensitive elements are mounted on the common substrate with the possibility to be replaced without disturbances of the photosensitive surface flatness.

Abstract: The invention relates to methods for evaluation a brightness level of the digital x-ray image for medical applications by means of the image histogram using a neural network. The calculations comprise of: image acquisition, image histogram calculation, transformation the frequencies of the histogram into input arguments of the neural network and calculation the brightness level as linear transform of the output value of the neural network. Training of the neural network is performed over a learning set calculated over the given image database. The transformed frequencies of histograms of these images are used as a set of input arguments of the neural network. The brightness levels calculated for each image over the region of interest and scaled to the range of output values of the neuron network are used as a set of target values.

Abstract: The method for correction of a digital image acquired with the use of electromagnetic radiation including X-rays, converted into electric signal and sent to digital imaging device, is provided, comprising pyramidal decomposition of a digital image into detailed and approximation images, removal of scattered radiation in approximation part of the images, contrast enhancement in detailed part of the images, merging of processed detailed and approximation images, the following reconstruction and generation of the final image. The results of the embodiment of this method comprise removal (reduction) of the scattered radiation component, noise reduction, correction of the dynamic range of the output image in accordance with the dynamic range of the output device, and scaling of the dynamic range of the output image in accordance with the dynamic range of the original image.

Abstract: The invention relates to the field of digital image processing and can find use in suppression of noise in digital images, formed by high-energy radiation, including X-ray radiation. Specifically, the invention relates to a method for suppression of noise in digital x-ray images. The objective of the invention is to provide a method for noise suppression in digital X-ray images that has extended functionality, specifically, a method that makes it possible to reduce residual noise level and amount of artifacts in the form of discontinuities, directed along local orientation of object borders in textured image areas, to reduce residual LF noise level, and to eliminate over-smoothing (excessive filtering) of fine details. The technical innovation achieved is the improvement of digital image processing quality.

Abstract: A method for brightness correction of defective pixels of digital monochrome image consisting in calculation of defective pixel brightness values over its neighborhood, creation of a defective pixel map that is used to determine a defective cluster perimeter preferably quadruply-connected one and calculate brightness value of each defective pixel belonging to such a perimeter; performing such a procedure iteratively until brightness value of each defective pixel has been calculated; defective pixel brightness value is calculated as an average weighed value over neighboring pixel brightness values. The technical result of the claimed method consists in increased quality of obtained image by means of brightness correction of defective pixels of a digital monochrome image.

Abstract: A method of noise reduction in an image obtained with the use of TV camera comprising a generation of a frame video flow out of frame groups, having timing interdependency; a generation of an image out of output frame series obtained by means of processing of the said frame groups by the use of averaging closely adjacent pixel values in at least one group of frames; and the use of average values considering weight coefficients to form an output frame.

Abstract: Digital detectors of X-ray image intended for stitching and linearization of gain characteristics of independent sensors of multisensor detectors are disclosed. The technical result is the development of methodology of stitching and linearization of multisensor detectors gain characteristics under the conditions of non equal irradiance (the use of radiation source with flat X-ray (light) field is not required). The method is based on calculation of LUT functions for conversion of output signals intensity of detector sensors. As a result of application of the stated conversion LUT functions the sensors gain characteristics are received which are the same and linear within the precision of measurements. Calculation of stitching LUT functions employs the availability of non-equal X-ray (light) field slowly changing along the area of detector. The responses of any two adjacent sensors with the same gain characteristics shall have similar values near the joint of these sensors.

Abstract: The present invention relates to imaging devices. Technical solutions—creation of highly manufacturable assemblage of flat panel x-ray detectors, and providing high quality images. The flat panel x-ray detector comprises a light-blocking split housing consisting of a bottom and top parts; in the housing sequentially along the incident radiation pathway are installed an elastic radiotransparent layer, x-ray screen on the substrate and sensors being fastened to the mounting base. Sensors are fastened on the mounting base with a possibility to be removed with a possibility to be removed by means of additionally set on the sensor substrates intermediate elements. To fix the screen it is additionally introduced a bar inside which the edge of said screen substrate is fixed, and the bar is fastened to mounting base with a possibility to be removed.

Abstract: The projection lens comprises: the first of the components of negative power, facing with its concave surface to the object and cemented of negative and positive menisci, the second component comprising a positive meniscus, having the concave surface facing an object side, the third one being a biconvex lens, the forth one being a positive meniscus, having the concave surfaces facing an image side, the fifth one being negative, faced with its concave surface to the image and being cemented of biconvex and biconcave lenses. The technical objective is that relative aperture (1:1.8) is increased, brightness at the image edge field is enhanced against that in the centre (0.91), in the image, formed by the lens, the required value of negative distortion is provided (?3%), an image quality is enhanced, conditions of lens operating are provided for the object, located at the finite distance.

Abstract: The method includes acquisition of an original image; low-frequency filtering of the original image to obtain an estimated image; a noise image development as a difference between the original and estimated images by morphologic filtering elimination of noise image pixels corresponding to sharp changes in the original image; dividing an intensity range of the estimated image into intervals, wherein each pixel of the estimated image relates to an appropriate interval; accumulating some noise image pixels corresponding to estimated image pixels; calculating interval estimations of noise dispersion using accumulated noise image pixels; improving interval estimations by removing noise pixels according to ? 3 criteria, approximating interval estimations of noise dispersion resulting in tabular function of noise vs.

Abstract: The invention relates to methods for evaluation a level of brightness in the area of interest of the digital x-ray image for medical applications by means of the image histogram using a neural network. The calculations comprise of: image acquisition, image histogram calculation, converting histogram values into input arguments of the neural network and output values of the neural network acquiring. As input arguments of the neural network the histogram values calculated with the given class interval and normalized to unit are used. The level of brightness is calculated as a linear function of the output value of the neural network. Neural network learning is performed using a learning set calculated on the base of the given image database; as a set of target values the levels of brightness calculated for each image over the area of interest and scaled to the range of the activation function of a neuron in the output layer of the neural network are used.

Abstract: The method for correction of a digital image acquired with the use of electromagnetic radiation including X-rays, converted into electric signal and sent to digital imaging device, is provided, comprising pyramidal decomposition of a digital image into detailed and approximation images, removal of scattered radiation in approximation part of the images, contrast enhancement in detailed part of the images, merging of processed detailed and approximation images, the following reconstruction and generation of the final image. The results of the embodiment of this method comprise removal (reduction) of the scattered radiation component, noise reduction, correction of the dynamic range of the output image in accordance with the dynamic range of the output device, and scaling of the dynamic range of the output image in accordance with the dynamic range of the original image.