184 results about "Spatial registration" patented technology

Measurement approaches and data analysis methods are disclosed for combining 3D topographic data with spatially-registered gas concentration data to increase the efficiency of gas monitoring and leak detection tasks. Here, the metric for efficiency is defined as reducing the measurement time required to achieve the detection, or non-detection, of a gas leak with a desired confidence level. Methods are presented for localizing and quantifying detected gas leaks. Particular attention is paid to the combination of 3D spatial data with path-integrated gas concentration measurements acquired using remote gas sensing technologies, as this data can be used to determine the path-averaged gas concentration between the sensor and points in the measurement scene. Path-averaged gas concentration data is useful for finding and quantifying localized regions of elevated (or anomalous) gas concentration making it ideal for a variety of applications including: oil and gas pipeline monitoring, facility leak and emissions monitoring, and environmental monitoring.

The invention relates to an omnibearing obstacle detection method based on multi-sensor fusion. The method comprises the following steps: firstly, collecting images and laser point cloud data in different scenes through a laser radar and a camera; carrying out aerial projection on the laser point cloud data, carrying out feature extraction after two-dimensional gridding segmentation, and obtaininga target candidate box in an aerial view; obtaining an image region candidate box by using a one-stage target detection network model; and then fusing the target area candidate box and the image areacandidate box in the aerial view by using spatial registration; designing a segmentation sub-network of an encoder decoder structure in a three-dimensional space point cloud classification branch toclassify each point cloud to obtain an accurate category of an obstacle target in a three-dimensional space; and the three-dimensional candidate box position regression branch calculating the coordinate deviation and loss value of the predicted target and the marked target of the corresponding category, and outputting the deviated predicted obstacle position information to obtain more accurate position information of the three-dimensional space obstacle.

A system for accessing geographical data residing in a plurality of disparate data sets and determining spatial relationships between geographic locations specified in the disparate data sets, the system comprising: an accessing component for accessing geographical data residing in a plurality of disparate data sets; a registration component for establishing spatial registration between the geographical data residing in the disparate data sets; and a geospatial analysis engine for determining spatial relationships between geographic locations specified in the disparate data sets.

The invention relates generally to biopsy needle guidance which employs an x-ray / gamma image spatial co-registration methodology. A gamma camera is configured to mount on a biopsy needle gun platform to obtain a gamma image. More particular, the spatially co-registered x-ray and physiological images may be employed for needle guidance during biopsy. Moreover, functional images may be obtained from a gamma camera at various angles relative to a target site. Further, the invention also generally relates to a breast lesion localization method using opposed gamma camera images or dual opposed images. This dual head methodology may be used to compare the lesion signal in two opposed detector images and to calculate the Z coordinate (distance from one or both of the detectors) of the lesion.

Numerical image processing based on a model of medical image acquisition of two or more medical images to provide grayscale registration is described. The grayscale registered temporal images may then be displayed for visual comparison and / or further processed by a computer-aided diagnosis system for detection of medical abnormalities therein. A parametric method includes spatially registering two images and performing gray scale registration of the images. A parametric transform model, e.g., analog to analog, digital to digital, analog to digital, or digital to analog model, is selected based on the image acquisition method(s) of the images, i.e., digital or analog / film. Gray scale registration involves generating a joint pixel value histogram from the two images, statistically fitting parameters of the transform model to the joint histogram, generating a lookup table, and using the lookup table to transform and register pixel values of one image to the pixel values of the other image.

Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any nonrigid registration is performed. For some modes, the nonrigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is subdivided into contiguous subregions. Fine transformations are determined between the subregions and corresponding portions of the first data to maximize a fine similarity measure. Subdividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last divided subregions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.

The invention relates to an image information processing technology, and provides an ultrahigh resolution panorama speed dome AIO (All-In-One) system, a video stitching method and a spatial registration method of the ultrahigh resolution panorama speed dome AIO system. A device comprises an engine base element, a panorama stitching video camera comprising multiple cameras, a speed dome, a controller, a shell and a support. The video stitching method comprises the steps of lookup table calculation, stitching line calculation, image fusion and the like. The spatial registration method comprises the steps of establishing a panorama stitching image coordinate system, uniformly dividing a panorama stitching image into a plurality of rectangular regions, sampling, calculating a mapping relation of sampling points and calculating a non-sampling point mapping relation by adopting a bilinear interpolation method. According to the ultrahigh resolution panorama speed dome AIO system, the video stitching method and the spatial registration method, provided by the invention, not only can panorama monitoring be realized, but also a high-resolution monitoring scene can be provided at the same time, and quick and accurate focus location, zoom out and zoom in and quick and stable browsing of an interested target can be realized through registration linkage between a panorama real-time stitching camera and the speed dome.

The invention discloses a multi-sensor multi-target cooperative detection information fusion method.acquiring original data of radar measurement equipment; preprocessing the original data to obtain processed data; performing sensor information registration according to a time registration algorithm and a space registration algorithm, so that all sensors obtain observation information at the same moment and at the same time and space; trace point-track association is carried out according to a target association algorithm and the maneuvering target model to obtain a target track; track-track association is carried out according to a K-means algorithm to obtain an accurate track; and performing fusion processing on the processing data according to a fusion algorithm to obtain an accurate track and real-time motion parameters of the tracking target. The multi-target cooperative detection information fusion scheme provided by the invention has the advantages of flexible configuration, strong universality and good expandability; and real-time data processing is carried out through the airborne data processing unit, so that the task load of a remote control center is reduced, and the timeliness and safety of the scheme are improved.

A system including confocal and triangulation-based scanners or subsystems provides data which is both acquired and processed under the control of a control algorithm to obtain information such as dimensional information about microscopic targets which may be “non-cooperative.” The “non-cooperative” targets are illuminated with a scanning beam of electromagnetic radiation such as laser light incident from a first direction. A confocal detector of the electromagnetic radiation is placed at a first location for receiving reflected radiation which is substantially optically collinear with the incident beam of electromagnetic radiation. The system includes a spatial filter for attenuating background energy. The triangulation-based subsystem also includes a detector of electromagnetic radiation which is placed at a second location which is non-collinear with respect to the incident beam. This detector has a position sensitive axis. Digital data is derived from signals produced by the detectors. In this way, data from at least one triangulation-based channel is acquired in parallel or sequentially with at least one slice of confocal image data having substantially perfect temporal and spatial registration with the triangulation-based sensor data. This allows for fusion or further processing of the data for use with a predetermined measurement algorithm to thereby obtain information about the targets.

A liquid crystal display (LCD) panel construction for producing color images for viewing by a viewer. The LCD panel construction comprises: an illumination panel for producing light including spectral components with wavelengths in a visible band of the electromagenetic spectrum; a plurality of pixel regions within a predefined image display area, wherein each pixel region has a plurality of subpixel region and each said subpixel region within each pixel region has a light transmission portion and a light blocking portion, and each light transmission portion and light blocking portion has a frontside disposed in the direction in the viewer and a backside in the direction of the illumination panel. The illumination panel illuminates the plurality of pixel regions from the backside thereof so that a color image is formed the said plurality of pixel regions for viewing. A pattern of broad-band reflector material is disposed in spatial registration with the backside of the light blocking portions of the subpixel regions, for reflecting produced light at structures associated with the light blocking portions of the subpixels, thereby recycling produced light for use in illuminating said plurality of pixel regions. A pattern of broad-band absorption material is also disposed in spatial registration with the frontside of the light blocking portions of the subpixel regions, for absorbing ambient light incident upon structures associated with the light blocking portions of the subpixels, thereby reducing glare at the surface of the LCD panel due to ambient light incident thereon.

A computer-implemented method of image processing for materials analysis is provided. At least three image datasets are obtained, these representing intensity values of image pixels and being in common spatial registration. The image datasets are processed so as to assign a comparison measure to each pair of image datasets, the comparison measure for a given pair of image datasets being representative of the difference between the spatial intensity information within the pair. A number of image datasets are then selected using the comparison measures. A colour difference measure is defined which represents the difference between pairs of colours of a colour set. Colours are assigned to the selected image datasets such that pairs of the selected image datasets which have substantially different spatial intensity information are assigned respective colours which have a substantially different colour difference measure. A number of the selected image datasets are then combined together to form an output colour image dataset for the formation of a colour image. The combination is such that each pixel of the colour image takes on a colour according to the relative intensities and colours of the selected image datasets so that if the pixel intensity of one dataset is substantially greater than the sum of the pixel intensities for all the other selected datasets, then the output colour in the respective part of the image will substantially match the colour assigned to that image dataset.

The application discloses a star image registration and target track extraction method based on an NoC framework and a device thereof. The method comprises the steps of camera calibration, time registration, preprocessing, space registration and movement track extraction. According to the method and the device, functions of high-precision image registration and target precise track extraction of two paths of 1080p sky background videos can be completed simultaneously. The device is compatible with a standard TCP / IP protocol and an HDMI interface protocol, and the system operates under a Linux operating system so that the device has high transportability, and the defects in the prior art that the existing method has difficulty in performing high-precision star image registration and precise track extraction of small space movement targets and the existing platforms based on a CPU framework and the embedded multicore systems composed of a few cores have difficulty in performing real-time complex processing on two paths of 1080p video data streams can be effectively overcome. Meanwhile, the device also has the advantage of low power consumption.