Patent classifications
G01N2223/401
UTILIZE MACHINE LEARNING IN SELECTING HIGH QUALITY AVERAGED SEM IMAGES FROM RAW IMAGES AUTOMATICALLY
A method for evaluating images of a printed pattern. The method includes obtaining a first averaged image of the printed pattern, where the first averaged image is generated by averaging raw images of the printed pattern. The method also includes identifying one or more features of the first averaged image. The method further includes evaluating the first averaged image, using an image quality classification model and based at least on the one or more features. The evaluating includes determining, by the image quality classification model, whether the first averaged image satisfies a metric.
Method and system for determining the location in 3D space of an object within an enclosed opaque container
A non-transitory computer readable medium on which is stored machine-readable instructions that, when executed by at least one processor, cause the processor to determine the location in 3D space of an object of interest within the interior region of an opaque container. Hence, a user or operator is allowed to construct a three-dimensional representation of the interior region of the opaque container so as to allow viewing of objects, components and substances within the interior region. The users or operators now have the opportunity to isolate a particular object of interest within the interior region that may be a threat, such as an explosive device or other energetic component. A disrupter device is aimed at the three-dimensional location and thereafter, the disrupter device fires a projectile or substance at the object of interest in order to disable or destroy the object of interest.
APPARATUS AND METHOD OF PRODUCING A TOMOGRAM
The present invention seeks to reduce the burden of producing high-resolution tomograms by using an initial scan on a predetermined grid 10 to obtain a minimal set of images, and then regions of interest 20 are identified for further scanning. The further scanning locations 40 are determined by image entropy or gradient found in the previous iteration; such regions are indicative of edges, cracks or complex structure within the region. After each iteration, the level of information (e.g. image entropy or gradient) will decrease relative to the pixel/voxel size. In this way, a more efficient way to scan is achieved.
SINGLE SHOT ANALYZER GRATING FOR DIFFERENTIAL PHASE CONTRAST X-RAY IMAGING AND COMPUTED TOMOGRAPHY
In accordance with the invention, an X-ray amplitude analyzer grating adapted for use in an interferometric imaging system, the interferometric imaging system comprising an X-ray source and an X-ray detector with an X-ray fringe plane between the X-ray source and the X-ray detector, wherein an X-ray fringe pattern is formed at the X-ray fringe plane, wherein the X-ray amplitude analyzer grating is provided. The X-ray amplitude analyzer grating comprises a plurality of grating pixels across two dimensions of the X-ray amplitude analyzer grating, wherein each grating pixels of the plurality of grating pixels has a different pattern with respect to all adjacent grating pixels to the grating pixel so that all adjacent grating pixels do not have a same pattern as the grating pixel.
APPARATUS, METHOD, COMPUTER-READABLE STORAGE MEDIUM FOR NON-DESTRUCTIVE INSPECTION OF BICYCLE BASED ON ANALYZING AMOUNT OF SCALE VALUE CHANGE
A non-destructive inspection apparatus is provided. The non-destructive inspection apparatus includes at least one memory configured to store commands for performing predetermined operations, and at least one processor operatively coupled to the at least one memory and configured to execute the commands. The at least one processor is configured to obtain information on a transmission amount of an X-ray by emitting the X-ray to a part of a bicycle, generate a gray scale image based on the information on the transmission, measure an amount of change in a gray value from one end to the other end of the part of the bicycle represented in the gray scale image along an extending direction of the part, and detect an area in which the amount of change in the gray value is equal to or greater than a threshold, as an abnormal area.
Method and system for determining the location in 3D space of an object within an enclosed opaque container
A method and system for determining the location in 3D space of an object of interest within the interior region of an enclosed, opaque container. The invention allows a user or operator to construct a three-dimensional representation of the interior region of the container to allow viewing of objects, components and substances within the interior region. The users or operators now have the opportunity to isolate a particular object of interest within the interior region that may be a threat, such as an explosive device or other energetic component. A disrupter device is aimed at the three-dimensional location and thereafter, the disrupter device fires a projectile or substance at the object of interest in order to disable or destroy the object of interest.
X-ray tomography
An x-ray tomography system which can generate a qualitative 3D image of a region of interest using a an x-ray source, the x-ray source configured to emit x-ray radiation at the region of interest. The x-ray radiation or the x-ray source or the relative position of the x ray source configured to be moved in a two dimensional plane. An x-ray detector including a plurality of detector elements arranged in a two dimensional plane opposite the x-ray source, the x-ray detector configured to detect x-ray radiation after attenuation by the subject and provide an indication of the detected x-rays. And a processor configured to receive the indication of the detected x-rays and resolve the detected x-ray radiation into a three dimensional image. The three dimensional image is qualitative in nature.
RADIOGRAPHY METHOD, TRAINED MODEL, RADIOGRAPHY MODULE, RADIOGRAPHY PROGRAM, RADIOGRAPHY SYSTEM, AND MACHINE LEARNING METHOD
A control device includes an input unit configured to accept an input of condition information indicating either operating conditions of a source of X-rays when the X-rays are radiated to capture an image of a target object or imaging conditions during capturing an image of the target object, a calculation unit configured to calculate average energy of the X-rays passing through the target object on the basis of the condition information, and a narrowing unit configured to narrow down candidates for a trained model from a plurality of trained models constructed through machine training in advance using image data on the basis of the average energy.
METHOD TO USE ARTIFICIAL INTELLIGENCE TO ENHANCE VISUAL INSPECTION OF OXYGEN SENSORS
A system configured to detect defects in a first oxygen sensor is disclosed. The system is configured to detect defects in a first oxygen sensor. The system includes an X-ray imaging device configured to capture a production X-ray image of the first oxygen sensor and an electronic processor configured to use a trained oxygen sensor defect detection model to identify a defect of the first oxygen sensor by producing a pseudo X-ray image by simulating a projection of a fan beam through CT data of a second oxygen sensor. The electronic processor is also configured to measure, via the trained oxygen sensor defect detection model, a fan-beam distortion in the production X-ray image; select, via the trained oxygen sensor defect detection model, the pseudo X-ray image based on the fan-beam distortion; perform a comparison, via the trained oxygen sensor defect detection model, of the production X-ray image to the pseudo X-ray image; and, classify, based on the comparison, the production X-ray image as representing an improperly assembled oxygen sensor.
X-ray inspection device
An X-ray inspection apparatus suppresses anomalies in inspection results caused by the X-ray inspection apparatus being used while an unsuitable setting is in effect. The X-ray inspection apparatus is provided with an inspection unit, a setting unit, a storage unit, an assessment unit, and a notification unit. The inspection unit inspects an irradiated article using detection data obtained by detecting X-rays. The setting unit sets a setting value used in inspection of the article by the inspection unit. The storage unit stores a detection value based on the detection data. The assessment unit assesses, on the basis of the detection value stored in the storage unit, whether or not the setting value set by the setting unit is suitable. When the assessment unit has assessed that the setting value is not suitable, the notification unit issues a notification to indicate that the setting value is not suitable.