144 results about "Image Series" patented technology

Symbol-image windows are arranged in matrix of three rows and five columns. Five game lines to be nominated are provided so as to horizontally and diagonally combine the symbol-image windows. Jackpot winning occurs when identical symbol images are displayed at one of three groups of the symbol-image windows. The first group is constituted of the first to third columns. The second group is constituted of the second to fourth columns. The third group is constituted of the third to fifth columns. When the identical symbol images are displayed at one of the five columns, sub-game winning occurs to award a sub game in which a symbol-image series is rotated again in the central symbol-image window. In another embodiment, ten game lines to be nominated are provided so as to vertically, horizontally and diagonally combine the symbol-image windows.

A method is disclosed, for encoding a signal with a three dimensional image sequence using a series of left and right images. Each image in the left image series is a picture formed by non-interlaced or interlaced scanned left line images, and each image in the right image series is a picture formed by non-interlaced or interlaced scanned right line images. The left line images contained in the left picture are merged with the right line images contained in the right picture to produce an alternately arranged left and right line merged picture. The merged picture is encoded using an MPEG-2 compliant encoder.

After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

An image reconstruction algorithm begins with an initial acquisition of a preoperative imaging volume followed by a second imaging sequence subsequent to an applied deformation. A computational domain (model) is generated from the preoperative image series and boundary conditions are derived from a pre-post deformation comparison, as well as from information gathered from deformation source application (i.e., displacement and/or force). Using boundary conditions, a series of model-based image deformations is accomplished while varying model material properties. A calculation of a Jacobian matrix relating the change in regional mutual information is performed with respect to the change in material properties. Upon completion of this process, matrix regularization techniques are used to condition the system of equations and allow for inversion and subsequent delivery of model-property adjustments.

A method for reconstructing a time series of images from data acquired with a medical imaging system is provided. Data is acquired with the medical imaging system, and a set of image blocks that defines the location and size of each of a plurality of image blocks in the image domain is then selected. The acquired data and selected image block set are then used to jointly estimate a plurality of images that form a time series of images while promoting locally-low rank structure in the images.

A device for detection and determination of a composition of a bulk material, has an image recording unit, at least one control unit, at least one memory unit, and a selection unit to enable a qualified determination to be made, during a transfer of a crop material flow into a container of an agricultural harvesting machine, of a composition of a crop during processing of the crop material, so that adjustment parameters of working assemblies of the agricultural harvesting machine are changeable during the processing of the crop material, wherein the image recording unit has at least two image detectors for recording images or image series of the crop material flow at equidistant intervals or permanently, wherein one of the image detectors is disposed substantially perpendicularly to a top side of a surface of the crop material flow emerging from a grain elevator head or a discharge chute, and another one of the two image detectors is disposed substantially perpendicularly to an underside of a surface of the crop material flow.

The subject invention relates to a method for reconstructing a dynamic image series. Embodiments of the subject invention can be considered and/or referred to as a parallel imaging-prior-information imaging (parallel-prior) hybrid method. A specific embodiment can be referred to as k-t GRAPPA. The subject method can involve linear interpolation of data in k-t space. Linear interpolation of missing data in k-t space can exploit the correlation of the acquired data in both k-space and time. Several extra auto-calibration signal (ACS) lines can be acquired in each k-space scan and the correlation of the acquired data can be calculated based on the extra ACS lines. In an embodiment, ACS lines can be calculated based on other acquired data, such that values in an ACS line can be partially acquired and the unacquired values can be calculated and filled in based on the acquired values. In a preferred embodiment, no extra training data is used and no sensitivity map is used. In an embodiment, the extra ACS lines can be directly applied in the k-space to improve the image quality. Because the correlations exploited via the subject method are local and intrinsic, the subject method does not require that the sensitivity maps have no change during the acquisition. Advantageously, the subject method can be utilized when sensitivity maps change, preferably slowly, during the acquisition of the data.

Method for generating scaled terrain information with an unmanned autonomous gardening vehicle (1), the gardening vehicle (1) comprising a driving unit comprising a set of at least one drive wheel (5) and a motor connected to the at least one drive wheel for providing movability of the gardening vehicle (1), a gardening-tool (7) and a camera (10a-b) for capturing images of a terrain, the camera (10a-b) being positioned and aligned in known manner relative to the gardening vehicle (1). In context of the method the gardening vehicle (1) is moved in the terrain whilst concurrently generating a set of image data by capturing an image series of terrain sections so that at least two (successive) images of the image series cover an amount of identical points in the terrain, wherein the terrain sections are defined by a viewing area of the camera (10a-b) at respective positions of the camera while moving. Furthermore, a simultaneous localisation and mapping (SLAM) algorithm is applied to the set of image data and thereby terrain data is derived, the terrain data comprising a point cloud representing the captured terrain and position data relating to a relative position of the gardening vehicle (1) in the terrain. Additionally, the point cloud is scaled by applying absolute scale information to the terrain data, particularly wherein the position data is scaled.

A computer-readable storage medium comprising computer-readable program code stored thereon which, when interpreted by a computing apparatus, causes the computing apparatus to implement an image processing tool for processing a plurality of biological images arranged in a plurality of image series wherein certain biological images across different image series have a predefined correspondence with one another. The computer-readable program code comprises computer-readable program code for causing the computing apparatus to: be attentive to receipt of an indication of a selected biological image from the plurality of biological images and belonging to a first one of the image series; be attentive to receipt of an indication of a segmentation mask created based on the selected biological image; apply the segmentation mask to a second biological image from the plurality of biological images, the second biological image belonging to a second one of the image series that is different from the first one of the image series, the second biological image having a predefined correspondence with the selected biological image; and display the second biological image after application of the segmentation mask.

Embodiments of the invention relate to a facial image series-based attribute identification method and device. The method comprises the following steps of: extracting facial attribute features in a facial image series through a convolutional neural network and a recurrent neural network; selecting a target facial attribute feature in the facial attribute features through a machine learning model; and when a plurality of primary attribute identification results obtained through identifying the target facial attribute feature by a plurality of preset classifiers are obtained, fusing the plurality of primary identification results to generate an advanced identification result of the facial image attribute identification. According to the method and device, the features between different facial images in the facial image series are correlated, and the complementary relationship between different images in the facial image series is fully mined, so that the problem of low correctness caused by single-facial image attribute identification in the prior art can be well avoided.

A method of adjusting at least one working unit of a harvesting machine includes taking pictures or picture series of a crop-material flow at a position downstream from a particular working unit in a crop-material conveyance path at various setting states with certain control parameter setting values of the working unit, storing the pictures or picture series such that they are assigned to control parameter setting values belonging to a particular setting state, with which a picture or a picture series is selected based on an analysis of the crop-material flow depicted in the picture or picture series, and adjusting the particular working unit using the control parameter setting values assigned to the selected picture or the selected picture series; and a harvesting machine carries out the method.

Functional MRI (fMRI) methods are presented for utilizing a magnetic resonance tomograph to map connectivity between brain areas in the resting state in real-time without the use of regression of confounding signal changes. They encompass: (a) iterative computation of the sliding window correlation between the signal time courses in a seed region and each voxel of an fMRI image series, (b) Fisher Z-transformation of each correlation map, (c) computation of a running mean and a running standard deviation of the Z-maps across a second sliding window to produce a series of meta mean maps and a series of meta standard deviation maps, and (d) thresholding of the meta maps. This methodology can be combined with regression of confounding signals within the sliding window. It is also applicable to task-based real-time fMRI, if the location of at least one task-activated voxel is known.

The invention provides a soil body image real-time acquisition method and system used for a centrifuge model test and belongs to geotechnical engineering test and measuring technology field. By installing computers on a swiveling jib of the centrifuge, the invention finishes the acquisition and storage of the image in the centrifuge, avoids the interference of a strong electromagnetic field in a slip ring and ensures the quality of the collected image, thus the precision of the analysis is improved effectively; the combining use of a high-speed camera and a way of step storing that the image is first stored in real time into an internal memory and then restored into a hard disc realizes the acquisition and real-time storage of image series with high-speed and strong resolution when the centrifuge is running; by using a LAN built by a cross network cable passing through the slip ring of the centrifuge, the interference of the strong electromagnetic field in the slip ring caused by high-speed rotation of the centrifuge can be overcome, thus realizing real-time control of the computers by a control room, and meanwhile pictures shot by the high-speed camera are mapped onto a monitor of a control machine.

The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating N components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing Gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability.

An ultrasound diagnosis apparatus comprises an insonifier, a receiver, and a processor. The insonifier is configured to insonify an ultrasound to a specimen. The receiver is configured to receive an echo signal from the specimen resulting from the ultrasound. The processor is in communication with the receiver. Further, the processor is configured to process the echo signal so as to obtain a first series of images under a first condition and a second series of images under a second condition. The processor is also configured to measure a first physical value on the first series of images and a second physical value on the second series of images. The processor is further configured to adjust a time phase of the second series of images relative to a time phase of the first series of images based on the first physical value and the second physical value.

The invention relates to a phase compensating method in object surface outline measurement. The phase compensating method comprises the following steps of: measuring an object surface outline on the basis of a structure light phase shift method, projecting a phase shift grafting towards a reference plane as a tested object by a digital projector, collecting the phase shift grafting projected on the reference plane by a digital camera to obtain image series; carrying out dephasing processing on the obtained image series according to the principle of a phase-shifting method, obtaining phase distribution representing the outline of the reference plane, selecting N phase data in an incrementing direction of the phase distribution as an actual phase distribution data set at random, subtracting known phase distribution of the phase shift grating from the actual phase distribution data set to obtain a phase compensating error data set; and carrying out curve fitting on the actual phase distribution data set and the phase compensating error data set by adopting sine and a function for carrying out phase compensation so that the measurement accuracy of an object surface outline measurement system is improved.

A method for automatically identifying and localizing anatomical regions of a left ventricle of a heart using a segment model, the method including receiving a volumetric MR image series of one or more time-points in a heart cycle with associated myocardial boundaries, representing the heart, performing a long-axis partitioning on each image of the volumetric image series, performing a short-axis partitioning volumetric image series, generating a polar map, wherein each image of the volumetric image series is mapped to a location on the polar map, wherein the location is characterized using the long-axis partitioning and the short-axis partitioning, and generating a mapping from the polar map to a voxel in an associated image of the volumetric image series representing an anatomical location.

An example image layout and display navigator system includes a navigator that includes a miniature layout representation corresponding to the layout of images on the display. The navigator is to appear on the display based on user action with respect to displayed content and to allow a user to select an image series via the miniature layout and to select one or more series level operations for application to the image series via the miniature layout. The navigator is to apply a selected series level operation to the image series via the miniature layout based on user input. An action in one of the navigator and the display is to translate into a corresponding action on the other of the navigator and the display. The content display manager is to update the content displayed to reflect the selected series level operation applied to the image series.

A method for providing a calculated volume data value for an organ of a patient acquires image data for a first volume image series and for at least a second volume image series for the patient and displays the first volume image series. The method responds to an instruction to generate the volume data value by identifying a seed point in the first volume image series, correlating the seed point to the second volume image series, segmenting the organ in at least the second volume image series according to the correlated seed point, and calculating the volume data value for the organ using at least the segmented second volume image series. The calculated volume data value can be displayed.

A magnetic resonance imager for forming images of a moving portion of a patient includes imaging coils. The imager includes a computer that causes the imaging coils to apply continuously steady-state free precession to k-space of a magnetic resonance image series of the patient and acquire the image series, and generates images from the image series. A method for forming images of a moving portion of a patient includes the steps of applying continuously steady-state free precession to k-space of a magnetic resonance image series of a patient. There is the step of acquiring the image series. There is the step of generating images from the image series. A method for forming images of a patient includes the steps of triggering a steady-state free precision imaging sequence to an ECG r wave of cardiac cycles of the patient. There is the step of performing the steady-state free precision imaging sequence with imaging coils of a magnetic resonance imaging scanner such that data for a series of k-space data sets associated with the imaging sequence are acquired in a manner that is time resolved through the cardiac cycle, with data acquired over a number of consecutive cardiac cycles. A computer program embodied on a computer readable medium to form an image of a patient with an MRI.