665results about How to "Improving Imaging Accuracy" patented technology

The present invention provides minimally invasive imaging probe/medical device having a frictional element integrated therewith for reducing non-uniform rotational distortion near the distal end of a medical device, such as an imaging probe which undergoes rotational movement during scanning of surrounding tissue in bodily lumens and cavities.

An analyzing means first calculates the blur direction and blur level of a digital photograph image based on edge widths and histograms of the edge widths obtained in each direction, and discriminates whether the image is a blurred image or a normal image. Then, it further calculates the camera shake level and blur width for the image discriminated to be a blurred image. A parameter setting means sets a one-dimensional correction mask and a two-dimensional correction mask based on the blur width. It also sets a correction level based on the blur level. It further makes an adjustment to the ratio between the one-dimensional and two-dimensional correction masks based on the camera shake level.

Embodiments of the present invention provide the use of average CT (ACT) to match the temporal resolution of CT and PET to enhance PET imaging and evaluated tumor quantification with HCT and ACT. For example, an embodiment of a method of enhanced PET imaging on a PET/CT scanner includes generating an average CT scan responsive to 4D CT emission image data to thereby correct attenuation in PET emission image data. Another embodiment of a method of attenuation correction in a PET/CT scan includes averaging a plurality of consecutive low dose CT images of approximately one breathing cycle to thereby obtain an average CT.

The present disclosure relates to a beam forming device, comprising a transmit unit comprising at least two transmit elements that transmit radiation towards a scene, a receiver unit comprising at least two receive elements that receive radiation from said scene and that generate receive signals from said received radiation, and a beam forming unit that performs beam forming to obtain beam formed output signals from said receive signals by use of beam forming weights, wherein said beam forming weights are adapted to a distance between the scene and one or more transmit elements and/or receive elements, said distance being indicated by a distance indicator, and wherein said beam forming weights are changed if said distance changes.

The invention provides a fast magnetic resonance imaging method and device based on a deep convolution neural network. The fast magnetic resonance imaging method comprises steps of constructing a deep convolution neural network, obtaining an offline magnetic resonance image data, training the deep convolution neural network, learning a mapping relation between an undersampled magnetic resonance image and a full sampled image, using a deep convolution neural network learned through the S2 to reconstruct a resonance image. The fast magnetic resonance imaging method and device based on deep convolution neural network learn an offline deep convolution neural network through using substantial sampled magnetic resonance data, learns a mapping relation between the sampled magnetic resonance image and the full sampled image, fully uses offline substantial the magnetic resonance images to develop the prior information, enables the offline network to recover more fine structure and image characteristics from the undersampled resonance data and improves the magnetic resonance multiple and the imaging accuracy.

A image sticking compensating device according to example embodiments includes a degradation calculator configured to calculate a degradation weight based on input image data, and to calculate degradation data of a frame, an accumulator configured to accumulate the degradation data, and to generate age data using the accumulated degradation data, and a compensator configured to determine a grayscale compensation value corresponding to the age data and an input grayscale of the input image data, and to output age compensation data by applying the grayscale compensation value to the input image data.

The invention discloses an imaging method for a bistatic forward-looking synthetic aperture radar (SAR). Aiming at the defect existing when the existing method is used for the imaging process of the bistatic forward-looking synthetic aperture radar, the imaging method adopts a bistatic forward-looking SAR point target response two-dimensional frequency spectrum based on the least square polynomial fitting; the frequency spectrum is the least square approximation of the two-dimensional frequency spectrum with the accurate theory. According to the characteristics of bistatic forward-looking invariant SAR direction, variant range and nonlinear and variant Doppler centroid range of range cell migration in an RD (radar domain) domain, bistatic forward-looking SAR range migration correction, secondary-range compression and high-order phase compensation are realized by the frequency spectrum so as to accurately focus the bistatic forward-looking SAR. Compared with the traditional SAR imaging method and the bistatic forward-looking SAR imaging method, the method disclosed by the invention has higher imaging precision.

The invention relates to a stock pile identification method of a bulk-cargo stock ground. A three-dimensional imaging method for realizing the real-time dynamic tracing of a stock pile is disclosed, which drives a laser scanning device arranged at the front end of a cantilever of a material piling and taking machine to carry out a dynastic scanning to the stock pile by utilizing the running, pitching and circumnutation of the material piling and taking machine; a pretreatment, a coordinate transformation, a grid standardization processing and an interpolation are carried out to the obtained laser scanning data so as to generate regular three-dimensional data and to finally generate a complete grid data base of the whole stock ground; a three-dimensional imaging control component reads the coordinate information of the grid of the stock ground; the stock ground is taken as a display area of the image and the ground surface of the stock ground as a display base plane, thus realizing a coordinate restoration in the area and finishing the display of the three-dimensional images of the stock pile; and the content of the data in the data base is updated in a real-time manner: meanwhile, the change of the data content in the data base triggers the three-dimensional imaging control component to read the data from the data base, thus realizing the real-time dynamic updating of the three-dimensional stock-pile image displayed by a terminal.

The present invention relates to a method for calibrating elements in a spatial light modulator (SLM) as a function of an applied element control signal. A plurality of elements are calibrated simultaneously. A beam of electromagnetic radiation is projected onto at least a part of the SLM. An image of said part of said SLM is formed on a device for measuring intensity of electromagnetic radiation. Element calibrating data is generated by using the intensity data as a function of the applied element control signal by either driving a sub-matrix comprising at least two elements out of said part of the SLM to a sequence of applied element control signals or by seeking out the control signal for each element which give the same predetermined intensity value on the device for measuring the intensity of electromagnetic radiation and stepping through N different predetermined intensity values. The invention also relates to an apparatus for patterning a workpiece having such a calibration method. Other aspects of the present invention are reflected in the detailed description.

The invention provides a visual 3D taking and placing method and system based on a cooperative robot. The method comprises the steps that internal and external parameters of a camera of a binocular structured light three-dimensional scanner are calibrated; the hands and eyes of the cooperative robot are calibrated, and a calibration result matrix is obtained; a three-dimensional digital model of to-be-taken-and-placed target objects is collected; the calibrated binocular structured light three-dimensional scanner is adopted to obtain point cloud data of the to-be-taken-and-placed target objects which are stacked in a scattered mode, and the point cloud is segmented to obtain scene point clouds of the multiple to-be-taken-and-placed target objects; the to-be-taken-and-placed target object with the highest grabbing success rate is selected as a grabbing target according to the scene point clouds of the multiple to-be-taken-and-placed target objects; the three-dimensional digital model ofthe grabbing target and scene point pair features are registered, pre-defined taking and placing pose points are registered into a scene, and a registered pose estimation result is obtained and serves as a grabbing pose of the grabbing target; and a preliminary grabbing path track of the cooperative robot is planned. The target object can be accurately recognized, and the grabbing positioning precision is high.

There is provided an ink jet recording apparatus including: a platen, a contact portion disposed between a pair of first ribs of the plurality of first ribs with respect to a scanning direction. A lower end of the contact portion is located lower than each upper end of the pair of first ribs. The platen includes a second rib disposed between one first rib of the pair of first ribs and the contact portion with respect to the scanning direction, and an upper end of the second rib is located lower than the upper end of the one first rib of the pair of first ribs and higher than the lower end of the contact portion.

A method and a device for calibrating at least one image sensor system, which is located at (on and/or in and/or on top of) a motor vehicle, by the use of at least one calibrating object, for the calibration, and for determining the alignment of the at least one image sensor system with respect to the geometric travel axis of the motor vehicle.

A method for decomposing the data of earthquake comprises the following steps: (i) collecting the data of earthquake with an earthquake exploration device; (ii) executing an observing system defining to the original data; (iii) executing frequency analysis and frequency scanning to confirm the construction degree of each frequency band to the geological structure; (iv) decomposing the single-shot data which passes the defining of observing system to different frequency bands; (v) executing procedures of amplitude compensation to the earthquake data, deconvolution, static correction, horizontal stacking and excursion imaging to the decomposed data object sequentially; (vi) combining the decomposed data object to compose a final offset data object; and (vii) executing wave filtering and processing gain to the combined offset data object, and taking the obtained offset data object for explaining the earthquake data. The invention settles the problem that the imaging of the deep complex construction in the low signal-to-noise ratio information is unclear as the imperfect consideration of conventional processing method to different frequency component. The imaging effect of the final process earthquake data is better. The processing quality is greatly improved and the imaging of middle stratum and deep stratum are contributed greatly.

The invention relates to a liquid crystal display detection system which comprises an image collecting device, a light-on jig operating table, an image processing device and a management end server. The image collecting device comprises four cameras, and the four cameras cooperate for collecting images, are used for collecting image information of different areas of a liquid crystal display to be detected and send the collected image information to the image processing device. According to the detection system, the four cameras cooperate for collecting the image information of different areas of the liquid crystal display to be detected, the number of collected pixels of the unit area of the liquid crystal display to be detected is guaranteed, and imaging definition and quality detection accuracy of the liquid crystal display to be detected are improved.

The invention relates to a method for determining anisotropic parameters by utilizing the data of a three-dimensional VSP (Vertical Seismic Profile). The method comprises the following steps: when collecting the actual journey of the three-dimensional VSP, computing the time difference of each depth point; computing the anisotropic parameters of a VT I medium and the residual time difference after being corrected; determining the anisotropic parameters of an HT I medium according to the relation fitting between the residual time difference and the azimuth angle; computing the VT I anisotropic parameters of each depth point and the anisotropic parameters of the HT I medium point by point; obtaining the parameter curve of the relation that the anisotropic parameters are changed along with the depth; and eliminating the influence of the dynamic correction time difference which is changed along with the wellhead distance or the shot-geophone distance. In the method provided by the invention, the problem that the VT I anisotropic medium and the HT I anisotropic medium have the mutual interference is solved; the anisotropic influence of earthquake can be effectively eliminated; and the imaging quality of the earthquake and the prediction accuracy rate of oil gas are enhanced.

There is provided an ink jet recording apparatus which includes a recording portion, and a contact portion configured to come into contact with an upper surface of the sheet. The contact portion has a storage portion provided on a side of the recording portion and configured to store an ink, and a protruding portion is provided between both ends in a width direction intersecting the transporting direction of the storage portion, and which is protruded toward the recording section, and an upper end of the protruding portion is the highest in the contact portion.

The invention discloses a method for synthesizing aperture radar images by one dynamic base and one static base and belongs to the technical field of radar signal processing. Firstly, radar signals which are reflected back by a detecting object are processed to obtain radar echo data. Then two-dimensional Fourier transformation is carried out to the radar echo data, thus obtaining two-dimensional frequency domain data, and distance frequency domain matching filtering processing is carried out. Then Taylor expansion is carried out to the phase of the obtained two-dimensional frequency domain data after filtering processing; and then the phase is compensated; at last, the spatial-variant properties of the phase after compensation is analyzed. According to the analysis result of the spatial-variant properties, mapping of beam domain and non-linear interpolation are carried out to the two-dimensional frequency domain data after phase compensation; and two-dimensional inverse Fourier transformation is carried out to the two-dimensional frequency domain data, thus obtaining the two-dimensional images at last. The method has the advantages of high precision, large adaptation scene and small calculation amount, and the method can overcome large scene spatial-variant properties and is beneficial to real-time imaging.

The invention is a prestack depth migration method for seismic data processing of a relief land surface, determining an imaging reference plane according to the highest point of a collection region, and projecting the relief land surface to a regular grid to fill a constant speed approaching to the near land surface in the relief land surface; using Fourier finite extrapolation operators of one-way wave equation to make wave field extrapolation on shot seismic source wave fields and detector received wave fields along the depth axis, and keeping the wave field between input and output datum equal to zero; imaging the extrapolated shot and detector wave field record by conjugate related imaging conditions, and stacking the related results of each frequency and processing the imaging result into a section image by routine display software, and the invention has an obvious imaging effect of complex construction on the condition of relief land surface.

The invention provides a fidelity amplitude gaussian beam pre-stack depth migration method under double complex conditions. The specific realizing process comprises the following steps: firstly, according to the initial width of a selected gaussian beam, a single shot record is divided into a series of overlaid areas through a gaussian window, and the center of each area is a beam center; secondly, through considering the slant stack of earth surface elevation, the shot record corresponding to a beam center is divided into plane waves in different directions; thirdly, the gaussian beams are respectively test-fired from a vibration source and the beam centers, and the travel time and amplitude information in the effective range of each gaussian beam are calculated; fourthly, according to an deduced fidelity amplitude imaging formula, the imaging value corresponding to one beam center is calculated by utilizing calculated travel time, amplitude, and the local inclination angle information of earth surface; and fifthly, the operation of the step three and step four are repeated to obtain the imaging result of the single shot, all single shot imaging results are overlaid to obtain the final offset result. With the invention, the energy strength of a deep layer (the position indicated by an arrow) is effectively strengthened, and the light layer noise (the position indicated by the frame) is suppressed, so that the imaging accuracy of near earth surface is improved.

An image stitching method adapted to stitch a plurality of fundus images of an animal is provided. The image stitching method includes following steps. A plurality of fundus images of the animal are captured, where the fundus images partially overlap. The fundus images are respectively converted into a plurality of grayscale images. The contrasts of the grayscale images are enhanced. The grayscale images with enhanced contrasts are compared to obtain a plurality of stitching data. The fundus images are stitched according to the stitching data. Additionally, a camera system is also provided.

The invention relates to a system and a method for measuring vision of a variable optical axis. The measuring system comprises a substrate, a camera, a rotary prism device and a computer, wherein the computer is connected with the camera and the rotary prism device respectively; the camera is arranged on the substrate through a camera adjusting mechanism; the rotary prism device is fixed on the substrate and aligns to the camera in the axial direction; an imaging plane of the camera and a prism plane of the rotary prism device are parallel to each other; and the rotary prism device comprises a prism capable of rotating in a complete cycle. Compared with the prior art, high-resolution target images can be collected by the camera under various optical axis pointing states respectively by sufficiently utilizing accurate pointing characteristic and wide-field scanning capacity of the rotary prism, the imaging view field and measuring range of the system can be enlarged obviously, relatively high imaging resolution and three-dimensional measurement accuracy are realized, and simultaneously, the integration and economical efficiency of system structure design also can be guaranteed.

The invention discloses a high-precision converted wave anisotropy stacking velocity analysis method. According to the method, the travel time of a converted wave is calculated through an equation, wherein the Tps is the travel time of the converted wave, the Vp is the velocity of a longitudinal wave, the Vs is the shear wave velocity, FORMULA is self-exciting and self-receiving, the Dp is the half offset distance of the longitudinal wave, the Ds is the half offset distance of a shear wave, FORMULA is an anisotropy parameter of the longitudinal wave, and FORMULA is an anisotropy parameter of the shear wave. The method comprises the following steps of: according to the longitudinal wave velocity parameter Vp, performing constant velocity scanning to obtain the shear wave velocity Vs through using a formula 1; according to the longitudinal wave velocity parameter Vp and the obtained shear wave velocity Vs, performing the constant velocity scanning to obtain the anisotropy parameter of the longitudinal wave through using the formula 1; and according to the longitudinal wave velocity parameter Vp, the obtained shear wave velocity Vs and the obtained anisotropy parameter of the longitudinal wave, performing the constant velocity scanning so as to obtain the anisotropy parameter of the shear wave through using the formula 1.