22 results about "Region of interest" patented technology

In accordance with preferred embodiments of the present invention, a method for imaging tissue, for example, includes the steps of mounting the tissue on a computer controlled stage of a microscope, determining volumetric imaging parameters, directing at least two photons into a region of interest, scanning the region of interest across a portion of the tissue, imaging a plurality of layers of the tissue in a plurality of volumes of the tissue in the region of interest, sectioning the portion of the tissue and imaging a second plurality of layers of the tissue in a second plurality of volumes of the tissue in the region of interest, detecting a fluorescence image of the tissue due to said excitation light; and processing three-dimensional data that is collected to create a three-dimensional image of the region of interest.

The invention discloses an obstacle feature extraction method based on a millimeter wave radar and a laser radar. The method includes the following steps that: step 1, radar raw data are acquired; step 2, the radar original data are solved according to a radar protocol, so that obstacle position information can be obtained; step 3, the solved millimeter wave radar data are screened; step 4, time and space synchronization is performed on the millimeter wave radar and the laser radar; step 5, regions of interest (ROI) are established in a laser radar coordinate system according to millimeter wave radar information and are denoted as Ri, wherein i is equal to 1, 2, ... n, wherein n is the number of the effective targets of the millimeter wave radar; step 6, the point cloud data of the i-th ROI are processed according to a scattered point cloud data simplification processing method; and step 7, a two-dimensional image is generated on the basis of the point cloud data, edge detection is performed on the image, and obstacle features are extracted. With the method adopted, obstacle edge information can be obtained, and therefore, more references can be provided for a driverless decision-making layer.

The invention discloses a method for generating a beautified two-dimensional code. A code word distribution map is generated according to an RS block in the two-dimensional code structure and the code word distribution characteristic of the RF block; a significance detection technology is utilized to detect a region of interest in a background picture to generate a significance graph; the code word distribution map is combined with the significance graph to calculate the significance value of each code word block, a code word order table is generated according to the significance values, m frontmost code cords are selected to form a replaceable region based on a redundancy principle of a error correction coding mechanism, and the rest part serves as a non-replaceable region; background images of code word modules in the replaceable region are directly replaced; and modules in the non-replaceable region are replaced in the threshold-based layered replacement rule. In addition, The shape of a URL of a dual rectangular shape in the function region is transformed. Thus, content of the two-dimensional code is more diverse and interesting, the two-dimensional code is more customized, and the visual effect of the appearance of the two-dimensional code is improved.

An ultrasonic imaging method includes activating a transmit aperture within a multi-element transducer array, transmitting one or more ultrasonic beams along scan direction(s) that span the region of interest, for each transmit event, receiving ultrasound echoes from each element of a receive aperture, grouping the receive channel echo data into two or more sets corresponding to different receive sub-apertures, combining each sub-aperture data set to generate partially focused echo-location data for one or more reconstruction lines, and storing all the sub-aperture echo data sets during a storage period in a format that can be retrieved for later analysis. A method includes, during a post-storage period, retrieving stored sub-aperture data, combining the sub-aperture data to form one or more selected reconstruction lines, processing echo data to extract motion information from one or more sample positions along the selected reconstruction lines, and displaying an image representative of the processed motion information.

A method to operate a controller for exchanging information corresponding to a public safety incident is provided. In operation, the controller transmits a request to communication networks to send location information for portable communication devices operating in a region of interest. The controller, based on the location information received from the communication networks for the portable communication devices, selects a subset of portable communication devices. The controller assigns each device in the subset to a trusted group of devices or a non-trusted group of devices based on the respective subscriber profile and operating characteristics of the portable communication devices. The controller then establishes a connection with high priority portable communication devices in the trusted group via a public safety communication network to exchange information corresponding to the incident.

A method includes performing a three dimensional volume scan of a region of interest located in a portion of an object or subject in an examination region, including dynamically collimating a radiation beam used to perform the scan so that a geometry and/or location of the radiation beam tracks, during the scan, to a geometry and/or location of the region of interest, wherein the region of interest is a sub-region of the portion of the object or subject in the examination region.

A specification defining allowable luma and chroma code-values is applied in a region-of-interest encoding method of a mezzanine compression process. The method may include analyzing an input image to determine regions or areas within each image frame that contain code-values that are near allowable limits as specified by the specification. In addition, the region-of-interest method may comprise then compressing those regions with higher precision than the other regions of the image that do not have code-values that are close to the legal limits.

The invention discloses a parking space detection method based on depth learning, comprising the following steps: obtaining a target image of the parking space; setting a training set and a test set of the parking space target image; a tag being arranged for that target region of interest, and the coordinate and categories of the target region being marked; initializing neural network parameters;putting the training set and tag information into the neural network to participate in training; quantitative evaluation of training results. A parking space detection system based on depth learning comprises an image acquisition module, an initial setting module and a training control module. The invention effectively solves the shortcomings of traditional image method that the parking space environment is highly demanded, and has strong adaptability, and the characteristic points of the parking space can be perfectly detected and positioned even in extreme environment, which is convenient for automatic and accurate parking alignment of vehicles, has the advantages of good robustness, and improves the user experience at the same time. The method and system can be widely used in the fieldof parking space recognition.

A method for defining a region of interest in a radiation image of a breast based on the result of shape analysis applied to a skin line estimate determined in the radiation image.

The invention belongs to the technical field of digital image processing and mode recognition, and particularly relates to an abnormal intrusion detection method based on a motion template. The method comprises the steps of selecting the region of interest and size parameters of an abnormal object from a monitoring video, conducting binaryzation on a poor image to remove the timeout effect, updating a historical image, then calculating a gradient direction of the motion historical image, dividing the whole motion into independent motion portions, finally calculating the global motion direction of the selected region, and therefore obtaining the motion direction of a motion target. Intersection, arranged between two adjacent frames of the motion target, existing in a picture is utilized in the method, and the track, speed and direction of the target can be clearly displayed without extrapolation, correlation analysis and track post-processing. Compared with a tracking method in the prior art, the method has the higher real-time performance and the better robustness, and the problem that due to the illumination changes, shaking of a camera and the like, abnormal detection and tracking are caused is well solved.

The invention provides an image scene multi-object mark method based on a prior condition constraint. The method comprises the steps that the region of interest of a semantic object group is determined; the multi-dimensional feature of a test image is calculated and used as a priori appearance constraint, and the pixel-level multi-dimensional feature is converted to a super-pixel-level multi-dimensional feature; the graph model structure of the region of interest of the test image is constructed; a super-pixel in the region of interest is used as a graph structure node; the adjacent relation of the super-pixel is used as the edge of the graph structure; the corresponding feature of the priori appearance constraint is converted to an edge weight value; the initial geodesic distance is calculated and used as a node weight value; geodesic propagation is carried out; in each step of propagation, the object mark of the current seed point is determined, and the geodesic distance of adjacent points around is updated to prepare for propagation of next step; and until the end of the propagation process, the object mark of each super-pixel is acquired. According to the technical scheme of the invention, the rich feature of the object is used as the priori constraint to improve the accuracy of the object mark.

An image processing method includes: capturing image data from a sequence of images of a scene from different but repeatable viewpoints; associating captured images with a respective viewpoint identification; tracking a region of interest in the sequence of images; performing an eigenspace projection for the respective images to calculate respective points in the eigenspace projection; and comparing the calculated points to points previously obtained for a reference image for substantially the same viewpoints. A change between a calculated point and a corresponding previously obtained point indicates a change in the image content of the region of interest between the corresponding captured image and the corresponding reference image for a substantially same viewpoint.

The invention discloses a method for segmenting a blood pool in a diastasis image in a heart cardiac function magnetic resonance image. The method comprises obtaining heart magnetic resonance images I<NP> including several lamellas of the left ventricular myocardium and in different cardiac cycle phases; in the magnetic resonance image I<MP> corresponding to each cardiac cycle phase of the intermediate lamella, calculating the maximum-strength projection image of an initial region-of-interest in all cardiac cycle phases, carrying out cluster segmentation on the maximum-strength projection image, and selecting a region A with the biggest circular degree; calculating the image average gray value of the magnetic resonance image I<MP> corresponding to each cardiac cycle phase of the intermediate lamella in the region A, and making the magnetic resonance image I<MP> having the maximum average gray value be the magnetic resonance image I<MP(ED)> corresponding to the diastasis of the intermediate lamella; segmenting the magnetic resonance images of the lamellas from the intermediate lamella to the cardiac apex lamella and the cardiac base lamella, and completing segmentation of the blood pool in the magnetic resonance image I<NP(ED)> in the diastasis.

The present invention provides non-human animal models of neuronal injury and/or cognitive dysfunction and methods of making and using such animal models. The animal models of the invention are particularly suited to assessing neurodegeneration in selected regions of interest in the CNS, and thus especially useful for testing the therapeutic efficacy of agents targeting neurodegeneration associated with aging, neurodegenerative diseases, autoimmunity and trauma (e.g., ischemia).

The present disclosure provides a method for characterising a region of interest within or between biological tissue. The method comprises inserting at least a portion of a probe into the region of interest and directing electromagnetic radiation to the region of interest and receiving electromagnetic radiation from the region of interest using the probe in a direction that is transversal to a length of the probe. Further, the method comprises directing a fluid to the region of interest through a portion of the probe and analysing received electromagnetic radiation.

A non-invasive method is described for identifying contours with complex structures having an error recognition rate tending towards zero, which method can be used to distinguish and identify features of a slaughtered animal body with respect to each other, said method being utilized on the basis of a characteristic piece in particular to determine, by means of image processing, data for calculating the muscle-meat percentage, the trade classification and the associated trade value and market value, and also to rate the quality of slaughtered animal bodies, taking into account legal requirements.

In accordance with the invention, during error recognition of contours of a slaughtered animal body which have complex structures and which are to be distinguished and identified with respect to each other, an operator at a workstation in the form of a PC interacts with the computer and provides sufficient indications relating to the unidentified or incorrectly identified contour to be sought, in that by employing an image reproduction device at least one support point is in each case set in the illustration of an image of the region of interest of the slaughtered animal body in one or several regions, in which data is to be determined from measurements.

The present invention discloses a distance measurement method and apparatus, and an unmanned aerial vehicle using same. According to the distance measurement method and apparatus, and the unmanned aerial vehicle provided in embodiments of the present invention, foreground and background segmentation is performed on two neighboring frames of images, and edge feature extraction is performed by using enlarged regions of interest (ROIs) to obtain measurement changes of the images. By means of the measurement changes of the images, remote-distance obstacle avoidance in an extreme condition can be implemented, and problems such as poor stereo matching precision or unavailability of stereo matching in extreme cases such as no texture, low textures, and dense and repeated textures are resolved.