36results about How to "Real-time filtering" patented technology

The invention discloses a real-time color image filtering method based on nonlocal domain transformation. The method comprises the following steps: using a two-dimensional color image as a two-dimensional manifold on a five-dimensional vector space, and defining distance-weighted keeping transformation to obtain a multi-channel weighted isometric function; using recursive filtering to realize one-dimensional nonlocal domain transformation filtering of linear time; conducting separated one-dimensional nonlocal domain transformation filtering to the two-dimensional color image. The nonlocal domain transformation method can effectively involve nonlocal information into an image filtering algorithm. Under the premise that a small amount of computation is added, a high-quality filtering image is effectively obtained, and meanwhile the two aspects of requirements that the edge information in the image is not fuzzy are taken into account. A single color (or gray) image is adopted as an input source, the algorithm complexity is lower, the filtering effect is good, and a variety of computer vision application requirements can be met. The method is especially suitable for image detail enhancement, picture stylizing, image colorizing and pencil drawing conversion.

The invention provides an internet of things equipment linkage control system. The system comprises a WEB configuration module and a linkage service module; the linkage service module performs regulation screening by means of data stored in a database through the WEB configuration module and completes motions of equipment needing to be operated. Various kinds of internet of things equipment are linked and include but not limited to a single lamp, a charging pile, wifi, a camera, an emergency call, a well lid monitor, broadcasting, a parking space monitor and an LED large screen, wherein the single lamp, the charging pile, wifi, the emergency call, the parking space monitor and the well lid monitor can be adopted as trigger conditions, and the single lamp, the camera, the broadcast and thelarge screen can be triggered and operated. Complete user individual configuration is achieved, all trigger conditions and trigger motions are all configuration items, and the internet of things equipment in a smart city can be organically combined.

The invention discloses an RTLogic big data processing system and method based on the CEP technology. The RTLogic big data processing system comprises a user editor, a data collection adapter, a central processing system and an output adapter. The user editor is used for editing business intelligence logics to define an inquiry target. The data collection adapter is used for collecting data from a data source according to the inquiry target and transmitting the data to the central processing system. The central processing system is used for analyzing and processing the collected data. The output adapter is used for transmitting the data analyzed and processed through the central processing system to a monitor for display. The RTLogic big data processing method can be used for carrying out real-time and effective analysis and processing on an event flow according to the inquiry target. According to the RTLogic big data processing system and method, the CEP engine technology is adopted, filtration, correlation, matching and integration can be carried out on the data in real time to generate information valuable to a user, the price advantage and the service advantage are realized, the data mining framework is relatively simple, and the RTLogic big data processing system and method have low relay, high output and expansibility.

The invention discloses an image processing method and device, a mobile terminal video processing method and device, equipment and a medium. The image processing method comprises the steps of determining an image attribute of each image block in a to-be-processed image; determining a filtering model corresponding to each image block according to the image attributes; and filtering the image blocksthrough the corresponding filtering models to obtain the filtered image of the to-be-processed image. According to the embodiment of the invention, the image attribute of each image block in the to-be-processed image is quickly calculated, so that the filtering processing speed of the image blocks is increased, the real-time filtering of the image is further realized, and the definition of the video is optimized by performing adaptive filtering on each image block through the corresponding filtering model.

The invention discloses an FPGA-based buried pipeline damage harmonic magnetic field detection system and an implementation method. The system is characterized in that a magnetic information detection module comprises a harmonic magnetic field focusing detection probe and a power-adjustable pulse carrier excitation source, and is used for the detection and induction of a magnetic signal; the data acquisition module comprises acquisition and quantification of probe induction data under harmonic excitation; the data information high-speed processing module FPGA is used as a main control chip and is used for carrying out high-speed parallel acquisition, processing and communication on multi-channel data; the algorithm filtering module performs data cleaning to filter impurity signals in the magnetic signals and realize adjustable filtering parameters; the mobile displacement calculation module is used for positioning defects and marking strong magnetic interference under actual working conditions; the data storage module uses an ARM as a main control chip and is used for real-time arrangement and storage of data. The system is advantaged in that a problem of accurate positioning of pipeline damage is solved, accuracy of a defect detection result is guaranteed, engineering detection efficiency is improved, and the engineering detection requirement can be met.

The invention discloses an image background modeling and foreground extraction method and device and electronic equipment, and the method comprises the steps: initializing a multi-layer depth background model, and carrying out the background subtraction and connected region analysis of an input depth image; Judging whether the image is a ghosting area or not; Extracting a first foreground target mask and a second foreground target mask from the non-ghost area; Judging whether each pixel point belongs to a background pixel point or a foreground pixel point, and determining the background pixelpoint needing to be updated; enabling The background pixel points needing to be updated to be subjected to secondary inspection, if the background pixel points needing to be updated are in the ghosting area and the distance between the background pixel points needing to be updated and the calibration boundary is smaller than a third threshold value, not updating the pixel points, and otherwise, updating the pixel points. According to the embodiment of the invention, background modeling and foreground extraction are carried out based on images of the depth image and the infrared image, the stability is good, the complexity is low, the robustness is high, and ghosts can be filtered in real time.

The invention discloses a chromatographic baseline noise reduction method. The method comprises the following steps: S1, signal acquisition, S2, signal amplification, S3, Gaussian noise removal, S4, impulse noise removal, S5, calibration fitting and S6, component analysis. A SG filter is connected with a morphological filter in series so that the advantages of the SG filter and the morphological filter are integrated, while the defects of the SG filter and the morphological filter are eliminated, Gaussian noise is removed through the SG least square filtering algorithm, and then impulse noiseis removed through the morphological filtering algorithm. The method has the advantages that most of noise is removed through the SG least square filter, and the amplification effect of the morphological filter on the noise is avoided; and then the morphological filter is used to filter the problem of residual abnormal point interference of the SG filter. The sequence of the two steps cannot be reversed, otherwise, the defects of the two algorithms are amplified. Fnally, the two filtering algorithms in the invention are real-time algorithms, the acquired signals can be filtered in real time,and the delay is within 0.5 s.

The invention discloses a hydraulic system. The hydraulic system is provide with a main oil channel which is used for communicating an oil tank and an execute component, a hydraulic pump supplies oil for the main oil channel, an oil outlet of the hydraulic pump and the oil tank are communicated through a filter oil channel, flow quantity of the filter oil channel is less than flow quantity of the main oil channel, and the filter oil channel is communicated with a first oil filter. When oil in the oil tank circularly flows through the filter oil channel, oil impurities flowing out of the oil tank are blocked in the first oil filter and cannot flow back to the oil tank again along with the oil, so that purity of the oil flowing back to the oil tank through the filter oil channel is improved; oil at the oil outlet of the hydraulic pump automatically shunts and flows toward the filter oil channel and the main oil channel according to the corresponding flow quantity, therefore, real-time filtering of the oil is achieved without affecting regular work of the execute component of the main oil channel in a same hydraulic system.