92 results about "Imaging order" patented technology

An apparatus and method for real-time volume processing and universal three-dimensional rendering. The apparatus includes a plurality of three-dimensional (3D) memory units; at least one pixel bus for providing global horizontal communication; a plurality of rendering pipelines; at least one geometry bus; and a control unit. The apparatus includes a block processor having a circular ray integration pipeline for processing voxel data and ray data. Rays are generally processed in image order thus permitting great flexibility (e.g., perspective projection, global illumination). The block processor includes a splatting unit and a scattering unit. A method for casting shadows and performing global illumination in relation to light sources includes sweeping a two dimensional array of rays through the volume can also be implemented with the apparatus. A method for approximating a perspective projection includes using parallel projection.

Enhanced techniques for the extraction and use of metadata from medical images are disclosed herein. Based on the information in the metadata, specific processing may be performed within an image order management system, radiology information system (RIS), or like system involved with healthcare imaging. In one specific embodiment, a radiology read order may be created, pre-populated, and transmitted via a processing system (e.g., a teleradiology image order management system) based on the metadata within the radiology image. For example, this metadata may exist within the header of a DICOM-formatted image data file or a DICOM communication protocol transmission. The processing system may then provide the pre-populated read order back to the source of the medical images for verification and submission. Other processing actions may also occur based on information extracted from the image metadata, such as custom workflows and handling based on an originating facility, or transferring the images to a particular radiologist or location.

(1) part or all of the number, coordinates and size/shape and imaging sequence of imaging points each for observation, the imaging position change method and imaging conditions can be calculated automatically from CAD data, (2) a combination of input information and output information for imaging recipe creation can be set arbitrarily, and (3) decision is made of imaging or processing at an arbitrary imaging point as to whether to be successful/unsuccessful and in case a failure is determined, a relief process can be conducted in which the imaging point or imaging sequence is changed.

A method and system renders a 3D model of a 3D object as an image including image samples. The 3D model is a distance field, and the distance field includes surface cells representing portions of a surface of the 3D object. A set of image samples in the image is determined in an object-order phase for each surface cell. Each surface cell is then processed independent of other surface cells. The processing casts a ray, in an image order phase from each image sample in the set of image samples, through the surface cell to determine a contribution of the surface cell to the image sample, and then the image is rendered.

An image processing method comprises: clustering images of a set of images to generate a plurality of scenes each comprising an unordered cluster of images; ordering images within scenes respective to video coherence to generate ordered scenes comprising ordered sequences of images; and generating video content as images ordered in accordance with the ordered sequences of images comprising the scenes. In some embodiments, the video content is converted to video comprising video frames played at a predetermined frame rate.

First, an image ordering rule is selected from among multiple image ordering rules that use mutually different types of image characteristic values to determine the order of arrangement of images. The image characteristic value used by the selected image ordering rule is then obtained for each of a plurality of images. The order of arrangement of a plurality of images is determined based on the selected image ordering rule and the image characteristic values for a plurality of images. Furthermore, the number of images to be placed on each page is determined based on the maximum number of images that can be included in each page of the electronic album. Finally, an electronic album in which a plurality of images are laid out on multiple pages in sequential order is created in accordance with the order of arrangement of a plurality of images and the number of images to be placed on each page.

A method and apparatus determine an antialiased intensity of a component of a pixel from a two-dimensional distance field representing an object. A set of sample points in the two-dimensional distance field is associated with the component of the pixel. A distance is determined from the two-dimensional distance field and the set of sample points and then mapped to the antialiased intensity of the component of the pixel.

In a sightseeing location, theme park or the like, a cameraman takes a picture with any customer as a subject. Photographic image data is stored, together with a photographing date/time and location, to an HDD of an order processing apparatus. A position information service center periodically transmits a position of a cellular phone carried by each customer to the order processing apparatus. The transmitted information, together with a date/time, is stored in the HDD as each customer's movement history. In case an image order is requested by a customer through an order receiving terminal or the like, the order processing apparatus collates a movement history of the corresponding customer with each photographing date/time and location of the photographic image data, and extracts only images having that customer as a subject to be list-displayed on a display.

The invention discloses an extraction method of main blood vessels from abdominal CT images based on watershed of three-dimensional region, which mainly overcomes the shortages that the existing segmentation method of blood vessels has high complexity for computation and can not utilize the third dimension information among CT images well. The extraction method comprises the following steps of: (1) reading a set of abdominal CT images, arranging the abdominal CT images according to the imaging sequence to obtain an abdominal three-dimensional data volume; (2) implementing three-dimensional watershed cutting on a plurality of small cubes in the three-dimensional data volume, and communicating each cut small cube to extract main blood vessels and the communicated organs in the abdominal CT images from the three-dimensional data volume; (3) extracting the main abdominal organs from the three-dimensional data volume; and (4) subtracting the results respectively obtained from the step (2) and step (3), and implementing post processing on the subtracted result to obtain the final main blood vessels in the abdominal CT images. The method can faster and more completely obtain the main blood vessels in the abdominal CT images and can be used for auxiliary diagnosis of the main abdominal blood vessels.

A method and apparatus determine an antialiased intensity of a component of a pixel. A set of objects is represented by a set of two-dimensional distance fields. For each distance field, a corresponding set of sample points is associated with the component and a corresponding distance is determined using the corresponding set of sample points. The corresponding distances are combined to determine a combined distance that is mapped to the antialiased intensity of the component of the pixel.

The invention discloses a remote sensing image recommendation method based on multi-attribute fusion, and belongs to the technical field of intelligent recommendation and distribution of remote sensing images. The method comprises the following steps: firstly, carrying out multi-dimensional knowledge graph modeling on responsibility information and ordering information of a remote sensing user andattribute information of a remote sensing image, and respectively carrying out embedded representation on the knowledge graph to obtain a user responsibility embedding vector, a user ordering embedding vector, an image order embedding vector and an image attribute embedding vector; performing semantic information extraction such as target detection and surface feature classification on the remotesensing image to obtain an image surface feature proportion vector to solve a problem of an information representation method of a user and an image in a recommendation process in the remote sensingfield effectively; and then, with a collaborative filtering recommendation network based on multi-attribute fusion, realizing fusion of multi-dimensional input by means of high-dimensional space modeling capability of a neural network, and embedding various input vectors in different spaces into a unified vector space to realize a better pairing recommendation effect.

The invention discloses a reordering method aiming at image retrieval result, which can make full use of multimode information in the process of image ordering, can further improve the image ordering result on the basis of the current retrieval result to enhance the accuracy, and is extraordinarily suitable for the use by an image retrieval system under a network environment or on the basis of a local system. The method of the invention comprises the following steps of: (1) extracting visual and textual characteristics of images; (2) retrieving the similarity in the modes (between single modes) and the similarity between the modes (between multiple modes) between the images, and constructing a multigraph according to the similarities; (3) processing the multigraph so that the multigraph is deteriorated to a complete graph; (4) performing random walk on the complete graph and calculating image ordering scores; and (5) reordering the images according to the condition of the image ordering scores to obtain a final result.

A portable X-ray imaging apparatus has an electronic cassette and a console capable of receiving an imaging order. The console has a wireless communication section, a trigger signal obtaining section, a connection determining section, a switching section, and a delivery requesting section. The wireless communication section receives radio waves and connects itself to an access point (AP). The trigger signal obtaining section obtains a trigger signal while the mobile radiography unit stands still. At the time of obtaining the trigger signal, the connection determining section determines one of the APs as an appropriate AP based on field intensity. The switching section switches the connection to the appropriate AP. Then, the delivery requesting section transmits a delivery request for the imaging order.

An image processing apparatus is provided that can quickly provide an image in which a main portion has a high image quality. The image processing apparatus includes an original image acquiring section that acquires an original image; a characteristic region judging section that makes a judgment as to whether a characteristic region is present in the original image captured by the original image acquiring section; an image adjusting section that, in a case where the characteristic region judging section makes a judgment that the characteristic region is present, adjusts an image of the characteristic region in the original image acquired by the original image acquiring section based on optical characteristics of an image capturing apparatus that captured the original image; and an image output section that, in a case where the characteristic region judging section makes a judgment that the characteristic region is present, outputs an image obtained through the adjustment by the image adjusting section and, in a case where the characteristic region judging section makes a judgment that the characteristic region is not present, outputs the original image acquired by the original image acquiring section.

Disclosed is a method for authenticating a user by user identifier and associated graphical password. The graphical password includes a sequence of several images belonging to a group of images. The user provides a user identifier to an application, and graphically selects a sequence of several images in this group of images, the image order being randomly displayed by the application with each authentication of the user. The application identifies the position of each selected image in the sequence, establishes the correspondence between the sequence of the positions and the sequence of the identifiers of the selected images, compares the sequence of the selected images identifiers with the registered sequence, the application being the only entity able to establish this correspondence and/or the application being the only entity able to make this comparison, and authenticates the user if the comparison is positive but refuses authentication for negative comparison.

An apparatus for displaying an image comprises, an access unit that accesses images stored in a recording medium; an image order management unit that orders a plurality of the images cyclically in such a manner that an end one of the images may be followed by a top one of the images; a first input unit that inputs a first command; a second input unit that inputs a second command; and a display unit that displays on one screen a display-subject area that corresponds to one portion of such a limitless two-dimensional array of the images that the images adjacent to each other in an x-direction may have consecutive order numbers and a difference in order number between the images adjacent to each other in a y-direction may be a first value of not less than two, and moves the display-subject area in the x-direction in accordance with the first command and in the y-direction in accordance with the second command.

The invention discloses a motion detection and error rate reduction method based on block matching. The motion detection and error rate reduction method based on the block matching mainly includes following steps: obtaining an image order which comprises frame images at a t-1 moment and a t moment; performing block matching arithmetic on the frame images at the t-1 moment and the t moment, and finding out a motion vector of each block; performing outlier detection on the vectors from the t-1 moment to the t moment and revising outliers; clustering vectors in a revised image. The motion detection and error rate reduction method based on the block matching can effectively achieve good effects in video with a moving background, especially avoids the special circumstance that the moving distance of a foreground in a frame is less than the moving distance of the background when a camera moves along with the moving foreground, can effectively adapt to different shooting modes, and avoids a mismatching problem caused by an occlusion problem between each two adjacent frames.