38 results about "Fuzzy filtering" patented technology

A method reduces artifacts in an input image. A variance image is generated from the input image. The input image is partitioned into a plurality of blocks of pixels. A set of classifications is defined. The set of classifications includes smooth, texture, and edge. A particular classification is assigned to each block of pixels of the input image according to the variance image, to generate smooth blocks, texture blocks, and edge blocks. A fuzzy filter is applied to each pixel of only each edge block.

A set of volatile markers are determined which are characteristic of a particular condition or disease, and which will be found in the exhaled breath of a person or odor from other parts of a body or from an entity. These markers are detected in the breath odor or gaseous emanations from the body or entity noninvasively using a volatile substance detector of sufficient sensitivity, such as an artificial olfactory system. The detected marker data is processed in an artificial neural network/fuzzy filter system with an algorithm that intelligently adapts to the individual body or entity and also optionally (if necessary) with a correction algorithm to eliminate environmental and other erroneous contributions to the markers. Any number of markers may be used, depending on how well they correlate with the condition and how accurate a result is desired, i.e. general screening or accurate diagnosis and monitoring.

An invention provides a system and method for filtering pixels in an image using only fixed-point and summation operations. First, a filtering window is centered on an input pixel. Based on a difference between the intensity of the input pixel and its neighboring pixels, fuzzy filter weights are obtained. A sum of the fuzzy filter weights is used to determine a normalization factor. Then, the pixel intensities, fuzzy filter weights and the normalization factor are used to obtain an output pixel corresponding to the input pixel.

The invention discloses a webpage data capturing and filtering method, which comprises the following steps: a) obtaining webpage Html codes; b) converting the webpage Html codes into an XML (extensive makeup language) sequence table; and c) performing fuzzy matching on the XML sequence table by using information key words to obtain webpage data. According to the webpage data capturing and filtering method provided by the invention, the webpage Html codes are comprehensively subjected to XML serialization at first, and the webpage data in XML files are obtained in a fuzzy filtering way, so that massive amounts of webpage data can be captured and filtered quickly and more accurately.

The invention discloses an image denoising method and system based on threshold value block matching. The image denoising method includes acquiring several images to be processed in time succession, calculating threshold values matched with blocks according to brightness of the images to be processed and processing by fuzzy filter to obtain fuzzy images, layering according to calculation distance of SAD (sum of absolute difference), and matching the blocks of the fuzzy images according to layering search; using the first image of the continuous images to be processed as a reference image, accumulatively processing the images to be processed one by one, and accumulating the image blocks with SAD smaller than the threshold values to the corresponding positions of the reference image so as to obtain cumulative sum and the images; dividing color values of various pixel points in the cumulative sum and the images from the cumulative frequency of the pixel points correspondingly to obtain denoised images. Accordingly, block matching efficiency is greatly improved, accuracy in matching is ensured, denoising effect is improved, and the image denoising method can be conveniently introduced into the industrial production.

The invention provides a filtering method, a device and electronic equipment, and relates to the technical field of filtering. The filtering method comprises the following steps: establishing an overall interval II-type T-S fuzzy time delay system model; establishing an overall interval II-type fuzzy filter model; establishing a filtering error model according to the interval II-type T-S fuzzy time delay system model and the interval II-type fuzzy filter model, and filtering according to the filtering error model. The filtering method, device and electronic equipment provided by the invention can better process a nonlinear system with parameter uncertainty, and accomplish the design of the filter parameter, so that the filtering is more stable.

The present invention provides a generation method of an image bokeh effect and an image acquisition device. The generation method of the image bokeh effect comprises the following steps: obtaining image frames including a current input pixel, and performing fuzzification processing of the image frames by respectively employing a first image fuzzy filter and a second image fuzzy filter to generate a plurality of first blurred images and second blurred images with respect to different fuzzy degrees; calculating the distance between the current input pixel and a focusing plane to obtain a current distance; respectively selecting a first current blurred image and a second current blurred image from the first blurred images and the second blurred images according to the current distance, and combining the first current blurred pixel of the first current blurred image and the second current blurred pixel of the second current blurred image according to the current distance to generate a current output pixel.

The image processing method and device is used to convert progressive scanned and displayed image data into interlaced scanned and displayed image data. The device includes a fuzzy filter lens unit, a scanning size regulator and a converter. The method includes the following steps: receiving progressive scanned and displayed image data; substituting the color value of each pixel with a combined value of the color values of the said pixel and adjacent pixels so as to obtain fuzzy filter lens processed progressive scanned and displayed image data; regulating the picture size to obtain new progressive scanned and displayed image data; and converting the new progressive scanned and displayed image data into interlaced scanned and displayed image data for output.

The invention discloses an image processing method, a device, a storage medium and an electronic device. The method comprises the following steps of: acquiring an original image to be processed; obtaining The target image by flooding the pixels of the original image based on the mean value fuzzy filter. The invention achieves the effect of improving the speed of image processing.

The invention discloses a laser flight detection method and implementation for the sag of an electric power overhead cable, and the method comprises the steps: enabling a rotor aircraft to fly to a position above a detected overhead cable through an airborne laser radar/distance measuring sensor of the rotor aircraft, and carrying out the measurement; then screening measurement data, wherein the measurement data are used for calculating the sag of the aerial cable and the distance to the ground; 1) the measuring method for a certain measuring point of any cable includes the steps that the rotorcraft keeps the flight height and the flight speed unchanged, and transversely sweeps the cable at a constant speed in the flight detection plane in the direction perpendicular to the trend of the cable; meanwhile, the laser radar/distance measuring sensor emits a detection laser beam sequence which is perpendicular to the flight detection plane and faces downwards, and cable and obstacle height data below the flight detection plane are continuously obtained; and 2) measurement data is screened by using a fuzzy filter to obtain effective data.

The invention provides a facial physiological information shielding method without changing a video effect belongs to the field of personal information safety, and the gradual maturation of a video-based non-contact physiological signal detection method makes it possible to obtain physiological parameter information such as personal heart rate, heart rate variability and the like only through a common video. Without knowing, personal physiological information may leak and be analyzed and utilized along with the propagation of the video. According to the facial physiological information shielding method, the video effect is not changed, non-contact physiological signal detection is interfered through single-channel periodic fuzzy filtering and single-channel periodic noise adding technologies, the rPPG principle and the detection process are fully considered, and traditional physiological signal detection methods such as ICA and CHROM can be rapidly and efficiently resisted.

The invention belongs to the technical field of image super-resolution reconstruction, and particularly relates to a dual-energy CT (Computed Tomography) super-resolution image reconstruction method and a dual-energy CT super-resolution image reconstruction system based on sparse representation, which are characterized in that paired high-resolution and low-resolution dual-energy CT images are obtained through de-downsampling operation of an original truth value image fuzzy filter, and paired matched image segmentation blocks are extracted from CT images in a training set; in order to obtain similarity of sparse representation, two pairs of dictionaries are jointly trained for the high-energy-spectrum CT image and the low-energy-spectrum CT image respectively, and each pair of dictionaries comprises dictionaries of low-resolution image blocks and dictionaries of high-resolution image blocks; the sparse representation coefficients extracted from the low-resolution input block are then multiplied by the corresponding high-resolution dictionary for reconstructing the high-resolution output. According to the method, better image quality and clearer visual effect can be obtained by reconstructing the high-resolution image in combination with a proper amount of iterative operation, the resolution of the dual-energy CT image can be effectively improved according to the image quality evaluation index and the peak signal-to-noise ratio, and the method is convenient for actual scene application.

The invention discloses an information acquisition method for English pronunciation. The information acquisition method comprises the following steps of S1, acquiring an audio signal and amplifying the audio signal; S2, performing analog filtering on the amplified audio signal; S3, converting the analog filtered signal into a digital signal, and extracting audio characteristic parameters of the digital audio signal, such as sound generation time, frequency spectrum centroid, frequency spectrum flux, fundamental tone frequency, sharpness and the like; S4, the audio characteristic parameters being matched with a sound source model in a standard sound source database, then the digital audio signals being matched with syllables and phonemes in the sound source model to obtain matching degrees, and phoneme correction being carried out according to the difference of the matching degrees; S5, combining the corrected phonemes into the digital audio signal; and S6, performing fuzzy filtering on the synthesized digital audio signal, and outputting an audio signal.

The invention relates to a method for designing an event trigger filter of an cyber-physical system under spoofing attack, and the method comprises the following steps: designing an event trigger mechanism according to a formulated T-S fuzzy model, and constructing measurement output of a filter to describe the spoofing attack suffered by the cyber-physical system; according to the spoofing attack suffered by the information physical system, constructing an elastic fuzzy filter corresponding to the spoofing attack; according to the elastic fuzzy filter, constructing a filtering error system for detecting the filtering effect of the elastic fuzzy filter; and under a spoofing attack, verifying the stability of the information physical system in which the elastic fuzzy filter is constructed. The invention aims to improve the bandwidth utilization rate of the information physical system and reduce the false triggering of the data packet.

The embodiment of the invention provides a community information management method, and the method comprises the steps: carrying out the live-action shooting in a to-be-managed community through a mobile device, obtaining the shot live-action image information, carrying out the photogrammetry, and carrying out the fuzzy filtering in a three-dimensional live-action model relation database, performing first-level object recognition on the live-action image by utilizing a constructed object learning model, associating the first-level object recognition with object information stored in a three-dimensional live-action model relational database, and recognizing a coupling object on the surface of the first-level object by utilizing a coupling object recognition model corresponding to the recognized object, and determining a pixel corresponding relation between each floor resident and the live-action image based on the coupling object. The pixel corresponding relation between each floor resident and the real scene image is determined based on the coupling object, so that the identification of the building in the community and the object information on the surface can be accurate to the home level, the error is reduced, and the accuracy is improved.