49 results about "Parallel image processing" patented technology

Disclosed in the invention is a programmable visual chip-based visual image processing system, comprising an image sensor and a multilevel parallel digital processing circuit. The image sensor mainly includes a pixel array, an analog preprocessing circuit array and an analog-to-digital conversion circuit array; and the digital processing circuit consists of a parallel processing unit array with an M*M pixel level, a parallel processing unit array with M*1 rows, an on-chip artificial neural network and a reduced instruction processor dual-core subsystem. According to the provided system, high quality image collection with high speed and multilevel parallel image processing are realized and several high-speed intelligent visual application can be realized by programming; and compared with a traditional image system, the provided system has advantages of high speed, high integration, low power consumption and low cost. Moreover, the invention brings forward an embodiment for realizing the above-mentioned system as well as several high-speed intelligent visual image processing algorithms based on the embodiment. High-speed motion detection, high-speed gesture identification and rapid face detection are included; and the processing speed can reach 1000 frames per second. Therefore, a requirement of high-speed real-time processing can be met.

The present invention proposes a dynamically reconfigurable multistage parallel single instruction multiple data array processing system which has a pixel level parallel image processing element array and a row processor array parallel. The PE array mainly implements a linear operation which is adapted to be executed in parallel in the low and middle levels of image processing and the RP array implements an operation which is adapted to be executed in row-parallel in the low and middle levels of image processing or more complex nonlinear operations. In particularly, such a system may dynamically reconfigure a SOM neural network in a low cost of performance and area, and the neural network supports high level of image processing such as a high speed online neural network training and image feature recognition, and completely overcomes a defect in which a high level of image processing can't be done by pixel-level parallel processing array in the existing programmable vision chip and parallel vision processor, and facilitate an intelligent and portable real time on-chip vision image system with a complete function at low device cost and low power consumption.

The invention discloses a scanning method for a millimeter-wave active three-dimensional holographic-imaging human body security check system. The scanning method comprises the following steps: a rotary scanning and driving device is controlled by a control device to drive a first millimeter-wave switch antenna array and a second millimeter-wave switch antenna array to respectively rotate in parallel in opposite directions in a first scanning zone and a second scanning zone so as to carry out cylindrical rotating scanning to a zone to be scanned; and a parallel image processing device synthesizes the three-dimensional holographic image of a person to be detected according to the collected data from a first millimeter-wave transceiver and a second millimeter-wave transceiver and the spatial position information of the collected data.

A system for parallel image processing in MR imaging comprises multiple MR imaging RF coils for individually receiving MR imaging data representing a slice of patient anatomy. An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The at least one processing device uses the calibration data set in generating a first MR image data set, deriving a second set of weights using the calibration data set and the generated first MR image data set and uses the second set of weights in generating a second MR image data set representing a single image having a reduced set of data components relative to the first composite MR image data set.

The invention discloses an UAV onboard multi-target detection tracking and indication system and method, and belongs to the technical field of target detection tracking and indication. The invention discloses an UAV onboard multi-target detection tracking and indication system comprising a multi-target detection and tracking system and a multi-target laser indication system. The multi-target detection and tracking system comprises an infrared camera, a visible light image sensor and a high-speed parallel image processing and tracking feedback control circuit. The multi-target indication systemincludes an integrated laser, a fast reflector, a fast reflector control module, and a laser control module. In order to improve laser indication accuracy, the UAV onboard multi-target detection tracking and indication system also includes a laser pointing control system. The invention also discloses an UAV onboard multi-target detection tracking and indication method based on the UAV onboard multi-target detection tracking and indication system. The UAV onboard multi-target detection tracking and indication system and method realize multi-target all-weather detection tracking and high-precision stable laser indication under the condition of a UAV onboard platform.

A neuromorphic parallel image processing approach that has five (5) functional layers. The first performs a frequency domain transform on the image data generating multiple scales and feature based representations which are independent of orientation. The second layer is populated with feature based representations. The third layer, an object class recognizer layer, are fused using a neuromorphic parallel processor. Fusion of multimodal data can achieve high confidence, biometric recognition.

An electronic device for parallel image processing using multiple processors is disclosed. The electronic device includes multiple image sensors for providing image data. The electronic device also includes multiple processors for processing segmented image data to produce processed segmented image data. Each processor is dedicated to one of the image sensors. A multiple processor interface is also included. The multiple processor interface maps the image data to the processors, segments the image data to produce the segmented image data and synchronizes the segmented image data to processor clock rates.

What is disclosed is a novel system and method for parallel processing of intra-image data in a distributed computing environment. A generic architecture and method are presented which collectively facilitate image segmentation and block sorting and merging operations with a certain level of synchronization in a parallel image processing environment which has been traditionally difficult to parallelize. The present system and method enables pixel-level processing at higher speeds thus making it a viable service for a print / copy job document reproduction environment. The teachings hereof have been simulated on a cloud-based computing environment with a demonstrable increase of ≈2× with nominal 8-way parallelism, and an increase of ≈20×-100× on a graphics processor. In addition to production and office scenarios where intra-image processing are likely to be performed, these teachings are applicable to other domains where high-speed video and audio processing are desirable.

The present invention relates to a system used for reconstructing and parallelly obtaining an MRI image, comprising a plurality of MR imaging RF coils for independently receiving MR imaging data of anatomy sections of a patient, wherein the MR imaging system obtains a plurality of image data sets corresponding to sections through using the plurality of RF coils. An image data processor comprises at least one processing device adjusted to execute following steps of: obtaining a first weight set used for generating a calibration data set, wherein the calibration data set comprises a k-space data subset representing the composite image data of a plurality of image data sets, and at least one processing device uses the calibration data set in the process of generating a first MR image data set; and obtaining a second weight set through using the calibration data set and the generated first MR image data set, wherein the second weight set is used in the process of generating a second MR image data set, and the second MR image data set represents a single image.

The invention discloses a real-time image content retrieval system based on full-parallel image processors. The system comprises a full-parallel array processor, an auxiliary input / output device, a control device, a computer and image retrieval software, wherein the full-parallel processor is utilized to perform large-scale parallel operation so as to ensure that the speed of extracting and matching image features is much higher than that of usual computer-based software methods and then realize real-time image content retrieval. The invention also discloses an image feature extraction method suitable to realize parallel processing. The method is suitable for parallel processing on hardware and cannot be affected by the changes of the average brightness of images. By utilizing the invention, the image content retrieval system can realize the real-time exact matching and retrieval of a large number of image data.

The embodiment of the invention discloses a method for extracting image feature information. The method comprises allocating an acquired image to be processed to a parallel computing module for parallel image processing, determining the scale information, the coordinate Information and the direction of a key point by calling a plurality of computing nodes in the parallel computing module, and extracting the feature information from the image to be processed according to the scale information, the coordinate information and the direction of the key point. By means of the unified scheduling of a CPU, the method performs distributed parallel computing on the a computing task, greatly saves the time for establishing the scale space, detecting the key points in each scale space and determining the key point direction of the image, improves the efficiency of a SIFT algorithm to extract the image feature information, relieves the load pressure of the CPU, and improves the overall system operating speed, is conducive to reliable and stable system operation. In addition, the embodiment of the invention further provides a corresponding system which further makes the method practical and which has corresponding advantages.

The present invention proposes a dynamically reconfigurable multi-level parallel single instruction multiple data array processing system which has a pixel level parallel image processing element array and a row-parallel array processor. The PE array mainly implements a linear operation which is adapted to be executed in parallel in the low and middle levels of image processing and the RP array implements an operation which is adapted to execute in row-parallel in the low and middle levels of image processing or more complex nonlinear operations. In particularly, such a system can be dynamically reconfigured as an SOM neural network at a low cost of area, and the neural network supports high level of image processing such as a high speed online neural network training and image feature recognition, and completely overcomes a defect that a high level of image processing can't be done by pixel-level parallel processing array in the existing programmable vision chips and parallel vision processors, and facilitates an intelligent and portable real time on-chip vision image system with a complete function at low device cost and low power consumption.

A system for parallel image processing in MR imaging uses multiple MR imaging RF coils to individually receive MR imaging data representing a slice of patient anatomy. An MR imaging system uses the multiple RF coils to acquire corresponding multiple image data sets of the slice. A coil selection processor determines a prioritized ranking of the multiple RF coils by ranking individual coils of the multiple RF coils based on correlation with remaining coils of the multiple RF coils. The correlation being determined by determining degree of correlation of image data sets acquired by respective coils of the multiple RF coils. The coil selection processor selects a subset of the multiple RF coils using the ranking. An image generator generates a composite MR image using image data sets provided by the selected subset of the multiple RF coils excluding image data sets provide by remaining coils of the multiple RF coils.

A system renders print jobs via a marking engine. A raster image processor receives the job from the input module and renders it to one or more raster images. One or more contone image processors receive the one or more raster images to perform cross-channel image processing to render the raster images into a form compatible with the marking engine, wherein the output is partially sub-partitioned by color separation. An image refactoring and distribution network completes the sub-partitioning by separation of the rendered contone raster images by color separation and distributes each color sub-partition to a marker channel module specific to each color sub-partition. A marking engine receives the color sub-partitioned image data, marks the image onto a substrate and outputs a hardcopy of the image.

A system for cardiac MR imaging receives a heart rate signal representing heart electrical activity. The system, over multiple successive heart cycles, uses multiple MR imaging RF coils in gradient echo imaging a patient heart, synchronized with the heart rate signal and uses an inversion recovery pulse for inverting myocardium tissue MR signal for an individual heart cycle, to acquire, within multiple individual successive portions of an individual heart cycle, corresponding successive multiple patient heart images. An individual image of an individual heart cycle portion is derived from multiple heart image representative data sets comprising a reduced set of k-space data elements acquired using corresponding multiple coils of the RF imaging coils. An image generator generates an MR image of an individual heart cycle portion using the multiple heart image representative data sets comprising the reduced set of k-space data elements.

The invention discloses a real-time image segmentation processing system and a high-speed intelligent unified bus interface method based on an Institute of Electrical and Electronic Engineers (IEEE) 1394 interface, which are used for solving the technical problem that the speed of the real-time segmentation processing which is carried out on camera image data streams of an IEEE 1394 camera by using an existing image processing system is low. The technical scheme is as follows: an IEEE 1394 controller is designed to analyze the IEEE 1394 bus protocol of the high-speed camera; effective image data are received in accordance with image frame synchronizing signals; a parallel image processing hardware structure is built in an field programmable gate array (FPGA); Sobel edge detection, threshold segmentation and morphology corrosion processing are adopted to realize the real-time segmentation processing on the high-speed image data streams; the processed result images are forwarded at a high speed by using a high-speed receiver SerDes through fiber channels; a multilevel hardware pipeline design is used to quicken to process system images; and a clock control module is used for realizing the switch between an IEEE 1394 bus synchronous clock and a high-speed intelligent bus synchronous clock, thus realizing high-speed and reliable transmission for image data of the two types of buses.

The invention discloses a device and method for achieving double display screen 3D display by the adoption of a serial processing mode. The device comprises an image segmentation unit, a left eye image buffering unit, a right eye image buffering unit, a first channel switching unit, an image processing unit, a second channel switching unit, a left eye image driving buffering unit, a right eye image driving buffering unit, a left display unit, a right display unit and a control unit. The serial processing mode that gating input is performed on a left eye image signal and a right eye image signal after segmentation and image processing is performed on the input image signals is adopted, and the processing speed of the serial processing mode is comparative to that of a mode that in the prior art, parallel image processing is performed on 3D image signals. However, regarding the achieving of the method, the method for the 3D display is easier to achieve, and configuration cost is also lower.

A system and method for processing images includes a plurality of image providers configured to transmit images. A plurality of destination processors receives the transmitted images and transforms the transmitted images to internally useable image data. A plurality of feature object engines find and identify in the internally useable image data a plurality of objects. A plurality of object classifier engines index and classify the plurality of objects found by the feature object engines.

The invention discloses an image corner fast extracting method and device, adopting flow line connection and neighbourhood image parallel array processing mode, where the flow line connection connects units in the extracting course together in series in sequence; the image corner extracting course processing units include image input, image intensifying, image filter, image binarizing, image corroding and image corner extracting units, where data of the image corner extracting unit are processed in parallel in the neighbourhood image parallel array processing mode, and the image corner extracting unit buffers the data to be processed and reads data from buffer memory in parallel, implementing parallel and real-time processing, i.e. simultaneously receiving input information, and after finishing task execution, all the registers in the image corner extracting unit output at the same time. And the invention can implement real parallel image processing.

System and method for a parallel image processing mechanism for applying mask data patterns to substrate in a lithography manufacturing process are disclosed. In one embodiment, the parallel image processing system includes a graphics engine configured to partition an object into a plurality of trapezoids and form an edge list for representing each of the plurality of trapezoids, and a distributor configured to receive the edge list from the graphics engine and distribute the edge list to a plurality of scan line image processing units. The system further includes a sentinel configured to synchronize operations of the plurality of scan line image processing units, and a plurality of buffers configured to store image data from corresponding scan line image processing units and outputs the stored image data using the sentinel.

The invention discloses a graphics processing unit (GPU) digital image system for a microscopic captive test (CT) machine, and further discloses a control method of the GPU digital image system for the microscopic CT machine.. The GPU digital image system for the microscopic CT machine accelerates parallel image processing speeds, and accordingly can be used on a potable microscopic CT machine The technical scheme is that the GPU digital image system for the microscopic CT machine is composed of a central processing unit (CPU) computing platform (15) which is based on an imaging light source (1), a complementary metal oxide silicon (CMOS) or a charge coupled device (CCD) imager (3), an embedded-type imaging and light source control system (6), a precision electromechanical coupling XYZ, an imaging platform (12) of rotating an object to be measured and a LinuxOs.

An image processing system comprises an image processing manager, a plurality of processors for processing an input sequence of images (e.g., movie), and a distributed file system for creating and storing an output file representing a sequence of processed images. The image processing manager allocates an image subregion of the sequence of images to each one of the plurality of processors for processing. Each one of the plurality of processors processes the assigned image subregion and provides a corresponding processed image subregion to the distributed file system. The distributed file system writes the processed image subregions from each of the plurality of processing units to a corresponding portion of the output file.

The invention provides a multi-FPGA (Field Programmable Gate Array) cooperative on-satellite real-time lightning image processing system and method. The multi-FPGA cooperative on-satellite real-time lightning image processing system comprises a real-time lightning detecting-processing module, a background image data processing module and a lightning signal and background image encoding module, andcan process original image data being 500 frames per second and up to 10.9Gbps in data rate in real time to finish lightning detection processing. A coordinative parallel image processing technologyimplemented by eight high-performance SRAM type FPGAs and four anti-fuse FPGAs is adopted, so that a lightning signal can be detected and identified effectively. Meanwhile, original background data blocks are extracted flexibly in real time to implement the function of combined encoding of lightning signal data and the background data blocks. The original image blocks are extracted and transmitteddownwards to the ground through the anti-fuse FPGAs, and the recognition and extraction of a transient target are finished by the SRAM type FPGAs. Through adoption of the multi-FPGA cooperative on-satellite real-time lightning image processing system, the on-orbit target recognition efficiency is increased. The multi-FPGA cooperative on-satellite real-time lightning image processing system can meet multipurpose application, has high radiation resistance, and is suitable for being applied to high-altitude satellites.

The invention provides a parallel image processing method. The parallel image processing method comprises the steps of collecting image data at a first moment; dispatching the image data collected atthe first moment and transmitting the image data to a standby first processing thread; the processing thread calls algorithms in sequence according to the arrangement sequence of the algorithms to process the image data collected at the first moment; judging whether the image data acquired at the first moment is processed or not at the nth moment; if the image acquired at the first moment is not processed completely, continuing to acquire image data; scheduling the image data collected at the nth moment and transmitting the image data to the nth standby processing thread; the processing threadcalls algorithms in sequence according to the arrangement sequence of the algorithms to process the image data collected at the nth moment; and if the image acquired at the first moment is processed,stopping acquiring the image data, and displaying the image.

The present disclosure relates to a security inspection system and method using the three-dimensional holographic imaging technology. The system comprises: a body frame; a millimeter-wave transceiving module, disposed on the body frame; and at least two millimeter-wave switch antenna arrays, connected with the millimeter-wave transceiving module; the number of the millimeter-wave switch antenna arrays being the same as that of the scan areas; a scan driving device, configured to drive the at least two millimeter-wave switch antenna arrays to rotate along the same direction; a control device, configured to control the scan driving device to generate a rotation angle signal; and a parallel-image processing module, configured to synthesize a three-dimensional holographic image of an under-test object according to echo signals collected by the millimeter-wave transceiving module and spatial position information of the echo signals. The present disclosure simplifies the system structure and improves the imaging resolution.