35 results about "Scan types" patented technology

The application provides a kind of enterprise product verification processing method, device, equipment and storage medium. It relates to resource management technical field. The method comprises: in response to product submission event, determine the submission piece related information of target product in product submission event;Submission piece related information includes the directory structure of target product and standard file under the directory structure. The standard file under the directory structure in submission piece related information is analyzed and processed to obtain analysis result information;Analysis result information includes product file and product directory information of target product. According to the preset scanning type, the preset scanning program corresponding to the scanning type is dispatched, and the product file and product directory information in analysis result information are scanned and verified to determine and output verification scanning report. The method of the application solves the problem of low verification efficiency of enterprise product.

An inkjet recording apparatus of a scanning type includes: a treatment liquid head that ejects a treatment liquid having a flocculation effect on a coloring material ink and a coloring material; and an ink head that ejects the coloring material ink in a single carriage, wherein the ink head does not pass through a treatment liquid discharging part after discharging the treatment liquid in a same scan.

The application discloses an old person free breathing coronary artery scanning image lesion analysis system and relates to the technical field of scanning image lesion analysis. In order to solve the problem that the accurate condition of a patient cannot be obtained according to a scanning image. The application adopts a diameter method, an area method and a contrast agent filling condition to judge the stenosis degree and the hemodynamic change, analyzes the lesion from the morphological and functional double angles, provides comprehensive information for clinical decision-making, identifies the R wave peak value and divides the cardiac phase, matches the respiratory signal and the projection data in time, can accurately capture the characteristics of the heart in different motion states and the respiratory stage, effectively avoids the interference of the artifacts caused by the heart beat and the respiratory motion, makes the reconstructed image clearer and more accurate, sets the CT and the injector parameters in sequence from the scanning type confirmation, each link is closely related and the target is clear, improves the work efficiency, and is convenient for quality control and process management.

The invention relates to the field of image processing, and discloses a large-view-field sweep type drop point miss distance extraction method based on background stitching. According to the implementation scheme, the method comprises the following steps: 1, before a task, determining and searching a large-view-field area, and calculating a single-view-field view field angle; 2, slowly and horizontally scanning from left to right by the photoelectric theodolite, and splicing a background; 3, after the task is started, staring a preset drop point view field by the photoelectric theodolite, detecting a smoke column in a neighborhood on a horizon line, and extracting a drop point; and 4, outputting the drop point miss distance during staring or sweeping. According to the method, a background splicing-based large-field-of-view frame difference method and a strategy of staring detection first and then sweep detection are adopted, and the drop point miss distance is extracted by using the smoke column position. The method improves the detection capability of the target drop point of the visible light target in the target range.

Ultrasonic testing (UT) data acquired during an inspection of an object is received and a first image of a portion of the object is displayed. The first image is generated in a first scan type based on the UT data. A first user input characterizing a first modification of the first image to focus on a region of interest within the portion of the object can be received, and the first image can be updated based on the first modification. A second user input characterizing a switch from the first scan type to a second scan type can be received. A second image of the portion of the object that is generated in the second scan type can then be displayed. A second modification to the second image based on the first modification to display the region of interest within the portion of the object can be automatically applied.

Ultrasonic testing (UT) data acquired during an inspection of an object is received and a first image of a portion of the object is displayed. The first image is generated in a first scan type based on the UT data. A first user input characterizing a first modification of the first image to focus on a region of interest within the portion of the object can be received, and the first image can be updated based on the first modification. A second user input characterizing a switch from the first scan type to a second scan type can be received. A second image of the portion of the object that is generated in the second scan type can then be displayed. A second modification to the second image based on the first modification to display the region of interest within the portion of the object can be automatically applied.

The invention provides an adaptive azimuth updating method for radar signal sorting, and relates to the technical field of electronic warfare radar reconnaissance signal processing. The method comprises the following steps: step 1, a temporary result azimuth feature statistics module respectively counts parameter features of all pulses and azimuth features of large-amplitude pulses in each radar pulse sequence, and outputs a single-frame temporary result of each signal; and 2, a large-amplitude signal identification judgment module carries out large-amplitude signal identification judgment according to the target scanning type and the target amplitude information. And step 3, a self-adaptive azimuth updating processing module performs self-adaptive updating processing on the azimuth of the target table signal for three states of a tracking signal, a non-tracking large-amplitude signal and a non-tracking small-amplitude signal according to a large-amplitude signal identification judgment result. According to the invention, self-adaptive azimuth updating processing of radar signal sorting is realized aiming at the change of the target scanning type and the detection amplitude information of the radiation source, and the statistical precision of the output azimuth of the signal sorting is improved.

The present application relates to a kind of linear array swing scan type optical satellite on-orbit geometric calibration method based on equivalent surface array, comprising the following steps: step 1, by image matching or artificial measurement method, from high-precision digital orthophoto map and digital elevation model, obtain the ground control point on the single pendulum satellite image;Step 2, according to the geometric relationship between the rotating scanning mirror, motion compensation mirror and linear array CCD in satellite imager and its imaging process, construct linear array swing scan type optical satellite geometric calibration model based on equivalent surface array;Step 3, using ground control point, solve linear array swing scan type optical satellite geometric calibration parameter.The present application can realize linear array swing scan type optical satellite high-precision on-orbit geometric calibration, thereby providing support for linear array swing scan type optical satellite image high-precision geometric processing.

The invention discloses a low-quality image filtering method and system, and aims to solve the problems that a conventional filtering method neglects optical characteristics and is insufficient in feature extraction. The method comprises the following steps: acquiring a low-quality image and optical parameters such as aperture shape, focal length and wavelength; a dynamic point spread function is generated based on the improved Fraunhofer diffraction principle, wavefront aberration compensation is achieved through a Zernike coefficient matrix and complex field convolution, and optimization features are obtained; a quality evaluation network including cross-channel convolution, dense convolution and classification sub-networks is used for outputting a quality level, and multi-level filtering is executed in combination with diffraction characteristic optimization and scanning type recognition. The network training adopts a difficult sample sampling and physical constraint confrontation strategy, so that the generalization ability and the physical consistency are improved. The method is suitable for scenes of medical images, security monitoring, industrial detection and the like, and high-quality images can be accurately screened.

A method and a device for encoding / decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

The invention relates to yaw calibration data simulation of a hyperspectral camera, and provides a simulation method for yaw calibration data of a flyback type multi-slit satellite-borne hyperspectral camera in order to solve the problems that an existing yaw calibration data simulation mode for the hyperspectral camera is relatively simple, the accuracy of obtained data is relatively low and the like. Comprising slit yaw trajectory simulation, yaw calibration data sampling and yaw data noise simulation. Wherein the slit yaw trajectory simulation comprises construction of a bottom image pixel coordinate system, construction of a camera coordinate system, conversion of a slit position and the bottom image pixel coordinate system and generation of a slit bottom image projection coordinate trajectory; the yaw calibration data sampling comprises yaw calibration data space dimension sampling and yaw calibration data spectrum dimension sampling; the yaw calibration data sampling comprises yaw calibration data space dimension sampling and yaw calibration data spectrum dimension sampling; according to the simulation method, the precision and accuracy of simulation data are effectively improved, and effective support is provided for yaw calibration algorithm research and calibration precision evaluation of the hyperspectral camera.

The invention provides a scoliosis dynamic modeling method and system based on multi-modal data, and the method comprises the steps: obtaining the spine scanning data of each scanning type of a user during the treatment period, and recognizing the trunk structure data of each trunk scale type of the user; based on the trunk structure data of each trunk scale type, constructing a trunk three-dimensional structure model of each trunk scale type corresponding to each collection time point during the treatment period, and based on the trunk three-dimensional structure model of each trunk scale type corresponding to each collection time point, through a four-dimensional modeling strategy, establishing a four-dimensional model of each trunk scale type corresponding to each collection time point; constructing a trunk four-dimensional dynamic model of each trunk scale type; and performing model fusion processing on the trunk four-dimensional dynamic model of each trunk scale type to obtain an initial scoliosis dynamic model of the user, and performing feature marking processing on the initial scoliosis dynamic model to obtain a scoliosis dynamic model of the user. By adopting the scheme, the identification accuracy of the dynamic change of the scoliosis of the patient can be improved.

The application provides a line array swing scanning type optical satellite swing mirror error correction method and system, which comprises the following steps: obtaining ground control points on the first swing and the last swing satellite images from high-precision reference data; obtaining connecting points between adjacent two swing satellite images; constructing a line array swing scanning type optical satellite swing mirror error correction model according to the imaging device structure and imaging mechanism of the line array swing scanning type optical satellite; solving line array swing scanning type optical satellite swing mirror error correction parameters by using the control points and the connecting points; and correcting the line array swing scanning type optical satellite swing mirror error by using the swing mirror error correction parameters. The application can realize accurate correction of the line array swing scanning type optical satellite swing mirror error, thereby providing support for high-precision geometric processing of the line array swing scanning type optical satellite image.

To provide an encoding method and a decoding method which efficiently execute frequency conversion and / or scanning on a color difference signal, and a device using the methods.SOLUTION: An encoder comprises: a prediction mode specification part which specifies an intra-screen prediction mode for a current block: and a scanning part for scanning a residual signal by intra-screen prediction of the current block. The scanning part determines a scanning type to apply to the luminance signal and the color difference signal of the current block corresponding to the intra-screen prediction mode for the luminance sample of the current block.SELECTED DRAWING: Figure 24

A method carried out by a computing device may include: receiving a plurality of models each associated with a type of sub-primal cut, including a reference shape(s) for detection of a corresponding match characteristic by a corresponding scan type, and including a plurality of attribute characteristic value ranges; receiving a registered scan of a sub-primal cut including scans showing corresponding match characteristics; identifying attribute characteristics for the sub-primal cut using the registered scan; concurrently aligning reference shape(s) of each model to corresponding match characteristics and calculating a shape match values based on the alignment; determining a best model match for the registered scan using a plurality of attribute match values calculate based on the identified attribute characteristics compared to the attribute characteristic value ranges and the plurality of shape match values; and assigning a type of sub-primal cut to the sub-primal cut based on the best model match.

To provide a device which identifies the types of chemical bonds with atomic-level spatial resolution of a material.SOLUTION: A scan type probe microscope device comprises: a detection unit which has at least one probe that is arranged in contact or non-contact with a detection object; and a control unit which controls the detection unit. The probe has a function that changes electromagnetic waves into electrical signals. The probe is controlled by the control unit, captures the electromagnetic waves in the vicinity of the target object and converts them into the electrical signals to highly accurately identify chemical bonds in the target object.SELECTED DRAWING: Figure 1

In an embodiment, a display inspection apparatus of a wavelength scan type includes a display sample having one or more layers; a light irradiator irradiating light to the display sample so that the light is incident onto a two-dimensional area of a surface of the display sample; a filter wheel having a plurality of filters, each filter converting reflected light reflected from the display sample into wavelength-reflected light with a corresponding wavelength; a driver rotating the filter wheel; a spectrometer measuring a spectrum for the wavelength-reflected light; and a controller controlling the driver to change the filter through which the reflected light passes, and determining a thickness of each of the one or more layers based on the spectrum for the two-dimensional area over a plurality of wavelengths according to the change of the filter.

The application relates to the field of code security scanning, and discloses a method, a system, a device and a medium for improving code security scanning. The method comprises the following steps: obtaining front-end code and back-end code of a scanning project; determining a scanning type of the scanning project according to whether the front-end code and the back-end code are in the same scanning task; determining a mapping file containing a mapping relationship of the front-end code and the back-end code; loading the mapping file, and scanning the scanning project according to the scanning type of the scanning project; and updating a scanning result of the front-end code according to the mapping relationship of the mapping file and a scanning result of the back-end code. The method disclosed by the application is beneficial to improving the scanning efficiency and the scanning accuracy of the overall code of a project and reducing the workload of manual auditing.

The utility model relates to multi-slit push-scan type hyperspectral imaging system, including front objective lens, multi-slit element, spectrometer imaging subassembly and panchromatic focal plane detector, multi-slit element sets up in the imaging light path of front objective lens, multi-slit element includes rectangular window and multiple parallelly arranged slits, and the rectangular window department sets up filter, spectrometer imaging subassembly respectively receives the light that transmits from rectangular window and slit and handles after, focuses to panchromatic focal plane detector again, panchromatic focal plane detector gathers the light after spectrometer imaging subassembly processing, forms spatial image and spectral data, realizes the errorless splicing and fusion of spectral image according to the position and attitude change in spatial image continuous two frames, obtains the spectral image of high spatial resolution, high spectral resolution. The utility model front lens, the joint design of multi-slit element and spectrometer imaging subassembly obtains the optical system that spectrometer imaging performance is excellent, and the volume is small, and the signal-to-noise ratio is high, and the image acquisition rate is high.

The present application relates to a kind of line array swing sweep type optical satellite image geometric correction method and system, including according to the imaging geometric mechanism of line array swing sweep type optical satellite, construct the geometric correction model of line array swing sweep type optical satellite image;According to satellite image geometric correction model, using satellite image imaging time parameter, satellite attitude parameter, satellite orbit parameter, satellite camera parameter and digital elevation model, calculate and obtain the longitude and latitude corresponding to each image point on satellite image;Based on the spatial resolution of geometric correction image, the maximum and minimum of the longitude and latitude corresponding to four corner points of satellite image are calculated, the longitude and latitude of the starting point of the upper left of geometric correction image and the width and height of image are determined;According to the gray value and longitude and latitude of image point on satellite image and the starting point longitude and latitude and spatial resolution of geometric correction image, the gray value of each image point on geometric correction image is calculated, and the geometric correction processing of line array swing sweep type optical satellite image is completed.

The invention discloses an extracorporeal shock wave pressure pulse measuring method, which is used for an extracorporeal shock wave pressure pulse measuring device which is connected with a therapeutic apparatus and comprises a water tank, a signal collector, a hydrophone, a mobile positioning mechanism, a motor driving module and a controller, and comprises the following steps: configuring parameters of the extracorporeal shock wave pressure pulse measuring device and the therapeutic apparatus; setting a scanning rule, wherein the scanning rule comprises a scanning type, a mobile sampling time interval and a scanning axial resolution; the motor driving module is controlled to drive the mobile positioning mechanism to move, drive the hydrophone to move to a test position along with the mobile positioning mechanism, control the therapeutic apparatus to work, control the hydrophone to scan and sample shock waves generated by the therapeutic apparatus according to a scanning rule, and control the signal collector to collect shock wave information acquired by the hydrophone; and receiving shock wave information acquired by the hydrophone and collected by the signal collector, analyzing and processing the shock wave information, and generating an in-vitro shock wave pressure pulse measurement result. And the positioning precision and the measurement efficiency can be improved.

An embodiment of the present specification provides a method for intelligent breathing navigation based on a patient's breathing frequency, the method comprising the following steps: obtaining the patient's free breathing information before scanning, and predicting the patient's scanning state breathing frequency based on the patient's free breathing information before scanning; determining the patient's guidance breathing frequency during actual scanning based on the free breathing information, the scanning state breathing frequency, the scanning required breathing frequency, and the scan type; determining a navigation voice based on the guidance breathing frequency, and navigating the patient's breathing during actual scanning based on the navigation voice, thereby providing different breathing guidance for each patient's breathing condition and improving the efficiency of breathing navigation.

The invention provides a scanning control method, device and system, and the method comprises the steps: determining a scanning type based on an operation type executed by a user on target equipment; in response to the scanning type being the first type, calling a first scanning device associated with the target equipment to scan the to-be-scanned object in a first scanning mode to obtain a scanning result of the to-be-scanned object; and in response to the scanning type being a second type, calling a second scanning device associated with the target equipment to scan the to-be-scanned object in a second scanning mode so as to obtain a scanning result of the to-be-scanned object. According to the embodiment, the applicability and scanning efficiency of the scanning control method can be improved.

This application relates to a magnetic resonance imaging (MRI) scanning method, an MRI equipment control method, and a medical device. The method includes: acquiring scanning requirement information of the scanned object and the current step of the MRI scan; determining operation guidance information matching the current step based on the MRI equipment's scanning specification database, the current step, and the scanning requirement information; the scanning specification database stores scanning operation knowledge of the MRI equipment under various scanning types; the operation guidance information includes operation information and corresponding operation principles; and generating a scanning prompt message based on the operation guidance information. This method can improve the quality of MRI scan images.

A method and a device for encoding / decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

A method performed by a computing device includes: receiving a plurality of models, each model associated with a type of a secondary cut block, including a reference shape for detecting a respective matching feature by a respective scan type, and including a plurality of ranges of attribute feature values; receiving a registration scan of the secondary cut block, including a scan showing a corresponding matching feature; identifying attribute features of the secondary cut block using the registration scan; aligning the reference shape of each model with the corresponding matching feature, and calculating a shape matching value based on alignment; determining an optimal model match for the registered scan using a plurality of attribute match values calculated based on comparing the identified attribute feature to the range of attribute feature values and the plurality of shape match values; and assigning the type of the secondary cut block to the secondary cut block based on the optimal model matching.

The invention provides an enterprise product verification processing method and device, equipment and a storage medium. Relates to the technical field of resource management. The method comprises the following steps: in response to a product submission event, determining submission related information of a target product in the product submission event; the submission related information comprises a directory structure of the target product and a standard file under the directory structure. Performing analysis processing on a standard file under a directory structure in the related information of the submitted piece to obtain analysis result information; the analysis result information comprises a product file of the target product and product directory information. And according to a preset scanning type, scheduling a preset scanning program corresponding to the scanning type, performing verification scanning on the product file and the product directory information in the analysis result information, and determining and outputting a verification scanning report. According to the method, the problem of relatively low verification efficiency of enterprise products is solved.

This application provides an adaptive azimuth update method for radar signal sorting, relating to the field of electronic warfare radar reconnaissance signal processing technology. The method includes: Step 1, a temporary result azimuth feature statistics module statistically analyzes the parameter characteristics of all pulses and the azimuth characteristics of large-amplitude pulses in each radar pulse sequence, outputting a single-frame temporary result for each signal. Step 2, a large-amplitude signal identification judgment module performs large-amplitude signal identification judgment based on the target scanning type and target amplitude information. Step 3, an adaptive azimuth update processing module, based on the large-amplitude signal identification judgment result, adaptively updates the azimuth of the target signal for three states: tracking signal, non-tracking large-amplitude signal, and non-tracking small-amplitude signal. This invention achieves adaptive azimuth update processing for radar signal sorting by addressing changes in the target scanning type and detection amplitude information of the radiation source, improving the statistical accuracy of the output azimuth of the signal sorting.