Spiral CT device and Three-dimensional image reconstruction method

    公开(公告)号:US11346975B2

    公开(公告)日:2022-05-31

    申请号:US16467140

    申请日:2017-08-04

    IPC分类号: G01V5/00 G01N23/046 G01T1/29

    摘要: The present disclosure provides a spiral Computed Tomography (CT) device and a three-dimensional image reconstruction method. The spiral CT device includes: an inspection station operable to carry an object to be inspected and defining an inspection space; a rotational supporting apparatus disposed around the inspection space; a plurality of X-ray sources located on the rotational supporting apparatus; and a plurality of X-ray receiving apparatuses located on the rotational supporting apparatus and opposing to the plurality of X-ray sources respectively, wherein the plurality of X-ray sources and the plurality of X-ray receiving apparatuses are rotational synchronously with the rotational supporting apparatus, wherein the plurality of X-ray sources are closely disposed and fan-shaped X-ray beams provided by the plurality of X-ray sources cover the inspection space with a minimum degree of overlapping.

    Methods and apparatuses for estimating an ambiguity of an image

    公开(公告)号:US10332244B2

    公开(公告)日:2019-06-25

    申请号:US15610930

    申请日:2017-06-01

    IPC分类号: G06T7/00

    摘要: A method and an apparatus for estimating an image fuzziness are provided. The method may comprise: acquiring an image; obtaining a multi-scale representation of the image by performing a multi-scale transform on the image; calculating gradients of the image and a normalized histogram of the gradients at each scale based on the multi-scale representation; calculating error vectors between the normalized histogram of gradients at each scale and a normalized original histogram of gradients of the image; performing a weighted summing on the error vectors by using respective weights to obtain a summed result, wherein the weights are determined based on a reciprocal of the sums of squares of the gradients of the image at each scale; estimating the ambiguity of the image based on the summed result.

    Imaging system and method of evaluating an image quality for the imaging system

    公开(公告)号:US10217204B2

    公开(公告)日:2019-02-26

    申请号:US15409738

    申请日:2017-01-19

    摘要: A method of evaluating an image quality for an imaging system and the imaging system are provided. The method in some examples includes: acquiring an image to be evaluated which is generated by the imaging system; extracting a number of sub-images from the image; obtaining a coefficient vector indicating a degree of sparsity by applying a sparse decomposition on the sub-images based on a pre-set redundant sparse representation dictionary; and performing a linear transformation on the coefficient vector so as to obtain an evaluation value for the image quality. The sparse dictionary is learned by only using a few high quality perspective images, and then the image quality is evaluated based on the sparse degree of the image obtained by using the sparse dictionary. A convenient and rapid no-reference image quality evaluation is achieved.

    Fluoroscopic inspection method, device and storage medium for automatic classification and recognition of cargoes

    公开(公告)号:US10122973B2

    公开(公告)日:2018-11-06

    申请号:US14580488

    申请日:2014-12-23

    摘要: The present disclosure relates to a fluoroscopic inspection system for automatic classification and recognition of cargoes. The system includes: an image data acquiring unit, configured to perform scanning and imaging for a container by using an X-ray scanning device to acquire a scanned image; an image segmenting unit, configured to segment the scanned image into small regions each having similar gray scales and texture features; a feature extracting unit, configured to extract features of the small regions; a training unit, configured to generate a classifier according to annotated images; and a classification and recognition unit, configured to recognize the small regions by using the classifier according to the extracted features, to obtain a probability of each small region pertaining to a certain category of cargoes, and merge small regions to obtain large regions each representing a category.