868 results about "Reference Region" patented technology

The invention provides a hull surface defect detection system based on machine vision, and relates to the technical field of data processing. The image correction module is used for carrying out illumination equalization processing and geometric distortion correction; the region construction module is used for identifying a defect-free stable region and generating reference region data which comprises a brightness model and a texture model; the candidate generation module is used for detecting a region where texture interruption or abnormal bright spots exist locally to form candidate defect data, and the candidate defect data comprise pixel positions and local contrast parameters; the stability judgment module is used for carrying out projection matching in the multiple frames of images and simultaneously carrying out joint comparison with the brightness model and the texture model of the reference area data to form real defect data and false defect data; the result output module is used for generating a detection result containing defect coordinates, defect contours, image frame numbers and interference sample prompts; the accuracy of hull surface defect detection is improved.

The invention discloses a dynamic calibration type laser surface real-time detection method and system, and the method comprises the following steps: obtaining initial calibration parameters of a laser projection module and a high-speed imaging module through a standard calibration plate, building an initial measurement coordinate system through a camera calibration method, and building a dynamic calibration model; through a dynamic calibration mechanism, calibration parameters are updated in real time, and a sub-pixel-level laser light strip center coordinate extraction method is combined, so that the detection precision is effectively improved, and tiny surface defects can be detected; by responding to changes of environmental parameters such as vibration, temperature and illumination intensity in real time and automatically triggering a calibration process, it is ensured that a high-precision detection result can still be kept in a complex industrial environment; by adopting the mode of combining the standard calibration plate and the workpiece reference area, the calibration time is shortened, and for workpieces of different models, quick adaptation can be achieved through quick migration of pre-training model parameters and a federal learning mode, and the production efficiency is improved.

Aspects of the disclosure provide a method and an apparatus for video decoding. The apparatus includes processing circuitry that determines motion information of a current block. The motion information indicates one or more reference blocks of the current block. If a motion information constraint indicates that the one or more reference blocks are within picture boundaries of respective one or more reference pictures, the processing circuitry reconstructs the current block based on the one or more reference blocks. If a first motion vector (MV) points from a region in the current block to a first reference region of a first reference block that is outside a picture boundary of a first reference picture, the processing circuitry determines a first clipped MV pointing from the region to an updated first reference region by clipping the first MV where the updated first reference region is within the picture boundary.

A method comprising: receiving an image block unit of a frame, the image block unit comprising samples in color channels comprising at least one chrominance channel and one luminance channel (900); reconstructing samples of said luminance channel of the image block unit (902); determining a reference area for predicting samples of at least one color channel of the image block unit, wherein said reference area comprises one or more of reference samples in a neighboring block in current color channel / frame, in the neighboring of a co-located block in reference color channel / frame; and / or inside the co-located block in reference color channel / frame (904); determining filter coefficients of a filter for said predicting based on the reference samples and a shape of the filter (906); and predicting samples of at least one color channel of the image block unit by performing a convolution between the samples of said luminance channel and the filter coefficients (908).

An example device for decoding video data includes a memory configured to store video data; and one or more processors configured to: decode data representing an initial motion vector for a current block of the video data, the initial motion vector having integer-motion vector difference (MVD) precision; determine a search range around a reference area identified by the initial motion vector in a reference picture; perform a template matching search process in the search range to identify a best matching region; determine error values for neighboring pixels to the best matching region; use the error values for the neighboring pixels to perform a model-based fractional-pixel motion vector refinement to derive motion vector difference values; apply at least one of the motion vector difference values to the initial motion vector to determine a refined motion vector for the current block; and decode the current block using the refined motion vector.

The invention relates to the technical field of image enhancement, in particular to a field-level crop image enhancement system based on multi-source remote sensing data, and the system comprises an artifact joint detection module which analyzes the mutation or periodicity of a statistical mean value and a variance value in the row and column directions of an input field-level remote sensing image, and recognizes an artifact stripe region. According to the invention, the method achieves the high-precision removal of thin clouds and stripe artifacts through carrying out the mutability analysis of the local mean and variance of the input remote sensing image in the row and column directions, positioning a stripe artifact region, and building an attenuation numerical relationship in combination with the spectral information of an adjacent clear sky reference region, and reduces the ground feature information loss in the image. Multi-scale coefficient decomposition is further performed on the image after artifact removal, texture features are extracted from homogeneous crop canopies in adjacent undamaged areas, and high-frequency coefficients of damaged areas are dynamically replaced and reconstructed, so that the texture structures of the damaged areas are highly consistent with those of the adjacent areas, and the regional texture continuity and authenticity are improved.

The embodiment of the invention provides an interface operation instruction generation method, electronic equipment, a storage medium and a program product. The method relates to the field of man-machine interaction and the technical field of computer vision, and comprises the following steps: obtaining fusion features based on visual features of an operation interface and current semantic features of a user instruction; according to the fusion features, a region frame regression module is adopted, a target region frame corresponding to the current interface element is generated, the current interface element is an interactive element in the operation interface, and the target region frame is used for representing an interactive region of the current interface element; the region frame regression module is obtained by training based on reference interface elements marked with reference region frames; and generating an operation instruction for executing operation based on the target area frame. In the technical scheme of the embodiment of the invention, the technical problem that the accuracy of automatic operation execution is not ideal due to inaccurate interface element recognition in related technologies is solved.

A method comprising: receiving an image block unit of a frame, the image block unit comprising samples in color channels comprising at least one chrominance channel and one luminance channel; reconstructing samples of said luminance channel of the image block unit; determining a reference area for predicting target samples of at least one color channel of the image block unit, wherein said reference area comprises one or more reference samples in a neighboring block in current color channel / frame, in the neighboring of a co-located block in reference color channel / frame; and / or inside the co-located block in reference color channel / frame; determining weights for predicting said target samples based on a ratio between a normalized luminance histogram in said reference area and a normalized luminance histogram co-locating said target samples; determining filter coefficients of a filter for said predicting based on the weights, the reference samples and a shape of the filter; and predicting samples of at least one color channel of the image block unit based on the samples of said luminance channel and the filter coefficients.

Disclosed herein are a method, an apparatus and a storage medium for image encoding / decoding. Methods for performing more accurate prediction are disclosed when performing prediction using a block vector. A block vector for a target block is derived by template matching, and a prediction block for the target block is determined based on the derived block vector. Various and detailed embodiments for a plurality of pieces of information used to derive a block vector, such as a search area, a block vector candidate list, a reference region, a buffer, and a tree type, are provided.

The method includes receiving an image block unit of a frame, the image block unit including samples in a first chrominance channel, a second chrominance channel, and one luminance channel; defining a co-located reference area across a luminance component of the luminance channel, a chrominance component of the first chrominance channel, and a chrominance component of the second chrominance channel; performing motion compensation prediction of the luminance component, the first chrominance component, and the second chrominance component using the reference frame and a motion vector; obtaining a first mapping function that maps the luminance component to the first chrominance component and a second mapping function that maps the luminance component to the second chrominance component using the co-located luminance prediction and chrominance prediction; reconstructing a luminance residual; and obtaining a first chrominance prediction by using the first function and the luminance residual and obtaining a second chrominance prediction by using the second function and the luminance residual.

The invention discloses a defect abandoning and curved surface fitting method and system based on point cloud data and a medium. The method comprises the following steps: preprocessing the point cloud data; segmenting the preprocessed point cloud data into a plurality of rectangular regions; based on a geometric shape defect detection method, whether defects exist in the rectangular areas or not is judged, and the areas with the defects are removed; carrying out effective sampling based on region features on the reserved region; in the reference area, performing curved surface fitting by using a non-uniform rational B spline to obtain a fitting curved surface of the reference area; and taking the fitting curved surface of the reference region as an initial curved surface, constructing an overall fitting objective function, introducing a smoothness penalty term of a curved surface second derivative to make the curved surface complexity, and completing overall curved surface fitting. According to the method, high-precision curved surface fitting can be realized, and the problems of insufficient fitting precision and poor local detail capturing capability in the prior art are effectively solved.

The invention discloses a correction method and system for laser emission direction adjustment, and relates to the technical field of image processing, and the method comprises the steps: capturing laser spot real-time image data through a CCD camera, extracting a spot region through a U-Net model, and setting a standardized reference region through calculating the side length of a square frame; selecting light spots by using a square frame to establish a relative coordinate system, carrying out gridding processing and positioning the centers of the light spots, and finally converting the light spots into actual coordinates of a world coordinate system; acquiring reflected and transmitted light spot coordinates and light spot position data from the position sensitive detector and the optical fiber sensor, and calculating deviation by using structural projection to obtain a corrected cursor; and a processing plane network model is constructed in the laser correction server, a galvanometer rotation angle set is calculated, laser scanning is executed, and feedback and correction are performed according to the deviation between the actual light spot position and the theoretical positioning point. According to the invention, the light spot region is extracted through the U-Net model, high-precision light spot segmentation is realized under the complex background and noise interference, and the accuracy of light spot positioning is improved.

The invention discloses an electrical pin position deviation detection method and system and electronic equipment, and belongs to the technical field of visual processing, and the method comprises the steps: determining a reference region and a reference point, and then determining a standard template used for aligning and matching an image through the reference region and the reference point in a standard workpiece; after a detection image is obtained, an alignment area is determined according to the corresponding position of a reference area in a reference template in the detection image, then the position of a first detection point is determined in the detection image by taking the alignment area as a reference according to the relative position relation between the reference area and a reference point, and the first detection point is a point aligned with the reference point in the detection image. The reference point is also a reference point for position offset judgment; image elements are determined, a second detection point is determined in the detection image based on the image elements, and the second detection point is a target point for position deviation judgment; whether the electrical pin has position offset is determined by determining whether the distance between the first detection point and the second detection point is beyond a distance threshold.

The invention relates to the technical field of spectrum correction, and discloses a spectrum information correction method and system for a spectrum abnormal region, and the method comprises the steps: collecting original spectrum data through an optical fiber confocal microscopic Raman spectrum system, and carrying out the multi-scale gradient analysis, and obtaining the characterization data of a multi-layer gradient flow field; performing flow field topology analysis on the characterization data of the multi-layer gradient flow field to obtain a spectrum abnormal region and a boundary point set; carrying out thermonuclear function processing on the normal spectrum region to obtain a multi-scale characteristic spectrum set and a normal reference region; executing gradient guide reconstruction according to the multi-scale characteristic spectrum set and the normal reference region to obtain preliminary correction data of a spectrum abnormal region; according to the method, the topological relation between the abnormal region and the normal region can be accurately described, and the structural integrity and continuity of the spectrum can be better maintained in the correction process.

The invention relates to a different-emissivity infrared imaging correction method and system based on an image enhancement technology, and the method comprises the steps: collecting a target infrared image, fitting a relation function between a gray value of the infrared image and a temperature value of the infrared image according to a temperature file of the target infrared image and a pixel value file of the target infrared image, and correcting the gray value of the infrared image according to the relation function; dividing the target infrared image into a target area and a reference area, fusing the features of the target area and the features of the reference area through a cross attention module to obtain fused features, and inputting the fused features into a convolutional neural network of a calibration model to obtain a target image; and taking the output of the last convolutional layer of the convolutional neural network as the input of a nonlinear iteration module, combining the target infrared image in the nonlinear iteration module to obtain an enhanced image, and finally obtaining an enhanced image temperature curve based on the enhanced image. And judging that the calibration temperature is qualified according to the Euclidean distance between the enhanced image temperature curve and the original image temperature curve.

Examples provide a method 100 for executing by a processing circuitry of a vehicle for improving a control of a flap of the vehicle. The method 100 comprises obtaining 110 position data indicative of a position of a user and obtaining 120 orientation data indicative of an orientation of the user. Further, the method 100 comprises comparing 130 the position of the user with a reference area and comparing 140 the orientation of the user with a reference orientation. Further, when the position of the user matches the reference area and the orientation of the user matches the reference orientation, the method 100 further comprises generating 150 control data for controlling a movement of the flap of the vehicle.

The invention provides a processing method, processing equipment and a storage medium, and the processing method can be applied to the processing equipment, and comprises the steps: determining or obtaining a prediction mode of at least one sub-block of a current block according to at least one reference region of the current block. According to the technical scheme of the invention, the prediction accuracy of the local region of the image block can be effectively improved, and the prediction effect of video coding and / or decoding can be improved.

A multilayer ceramic electronic component includes a first extension portion including a bent portion in a cross section. The multilayer body is divided into four regions by a straight line passing through a middle portion of the multilayer body in a lamination direction and a straight line passing through a middle portion of the multilayer body in a length direction, and a region adjacent to a first main surface and a first end surface among the divided four regions is defined as a first reference region, and a regression line derived based on values of x and y with respect to the bent portion in a reference region is defined as a virtual connection line, the virtual connection line intersects an effective layer portion.

The invention relates to the technical field of projection, and discloses a method, a device and equipment for measuring a projection ratio and an off-axis ratio, and a medium. The method comprises the following steps: acquiring a projection test image obtained by sampling a projection area and a reference area by an image sampling device of the projector; performing area feature extraction processing on the projection test image to obtain image size information and central point pixel information of a projection area and image size information of a reference area; determining the projection ratio of the projector based on the image size information of the projection area, the projection distance information of the projector and the image size information and the actual size information of the reference area; and determining the off-axis ratio of the projector based on the central point pixel information of the projection area, the optical axis pixel information of the projector and the image size information and the actual size information of the reference area. According to the embodiment of the invention, the cost of measuring the projection ratio and the off-axis ratio can be reduced.

The invention relates to a method and a system for realizing fast and uniform focusing of emergent light spots of a multi-mode optical fiber based on superpixels, belongs to the technical field of novel optical imaging and light field regulation and control, and integrates online speckle acquisition, offline amplitude optimization and an online speckle acquisition stage. When a certain modulation area is in an activated state, respectively capturing a non-interference speckle image of the emergent end of the multimode optical fiber and an interference speckle image generated when the area and the reference area are activated at the same time, and traversing all the modulation areas to totally obtain a speckle image; in the off-line amplitude optimization stage, a focusing light spot is preset, and calculation is carried out by utilizing intensity information of a corresponding focusing position in the speckle image. And analyzing all the focusing light spots one by one so as to construct a binary amplitude modulation mask. And the masks are loaded to the spatial light modulator one by one, so that accurate point-by-point focusing of N emergent light spots of the multimode optical fiber is realized, and the focusing efficiency and uniformity are greatly improved.

The invention relates to the technical field of image data processing, in particular to a boiler coke accumulation detection system based on unmanned aerial vehicle inspection, the system comprises a processor and a memory, and the processor executes a computer program of the memory to realize the following steps: obtaining at least two correction images and one fusion image of any to-be-detected part in a boiler, if it is detected that a suspected focus area exists in the fused image, a reference area corresponding to the suspected focus area is obtained from each corrected image, and the corrected image is obtained according to the gray value difference of pixel points in the suspected focus area and each reference area, the gray value change features of the pixel points in the suspected focus area and the gray value difference. Obtaining the focus accumulation confidence degree of each suspected focus accumulation area in the fused image; according to the focus accumulation confidence degree of each suspected focus accumulation area, the total weighted frequency number of each gray value in the fused image is obtained, histogram equalization is utilized to carry out enhancement processing on the fused image, an equalized image is obtained, and the accuracy of focus accumulation detection is improved.

The invention relates to the technical field of infrared measurement, in particular to an intelligent calibration method and system for temperature measurement of an infrared sensor, and the method comprises the steps: enabling an infrared camera to align with a blackbody radiation source to form a calibration scene, collecting the output of a plurality of groups of pixels under different radiation temperatures and different internal part temperature states, fitting a temperature signal response model containing an exponential term and a bias term according to least square to obtain amplitude, exponential, temperature offset and output bias parameters; during measurement, a thermal image containing a target object and two reference blackbody sources is obtained, and parameters such as emissivity, environment equivalent radiation temperature, transmission medium and optical transmission, camera temperature and the like are synchronously obtained; performing non-uniformity and offset correction and abnormal pixel replacement on the thermal image; the initial temperature is inverted based on radiation transfer decomposition and compensation of internal radiation of the camera; and carrying out statistical averaging on the temperatures of the two blackbody reference regions to obtain a double-point correction coefficient, and outputting correction temperature or temperature distribution. According to the method, the problems that temperature inversion model parameters are difficult to adaptively update along with working conditions and on-site temperature measurement errors are difficult to effectively suppress when an existing infrared sensor array is in a long-distance non-contact temperature measurement scene can be solved.

A method and a device for encoding / decoding an image according to the present invention may determine a reference region for intra prediction of a current block, derive an intra prediction mode of the current block on the basis of a predetermined MPM candidate group, and perform intra prediction on the current block on the basis of the reference region and the intra prediction mode.

An image encoding / decoding method according to the present invention comprises determining at least one intra prediction mode for a current block; and on the basis of the at least one intra prediction mode, performing intra prediction on the current block. Here, the at least one intra prediction mode may be determined via a histogram derived from a reference region of the current block.

The invention relates to the technical field of infrared temperature measurement of power equipment, and provides an infrared temperature measurement compensation method combining physical transmission and depth residual error, which comprises the following steps: acquiring an infrared image and physical parameters related to radiation transmission; establishing a differentiable forward physical model, and calculating radiation brightness; performing first-order physical inversion according to the differentiable forward physical model to obtain a baseline temperature of the target area; constructing a deep residual learning network, taking the infrared image, the baseline temperature and the physical parameters as input, outputting a pixel-level temperature residual estimation value, and correcting the baseline temperature to obtain a corrected temperature; closed-loop joint optimization is constructed and executed, and the closed-loop joint optimization is based on the consistency constraint of the simulated radiance and the actually measured radiance, and parameters of the target distance and the deep residual learning network are synchronously updated; and based on the corrected temperature after closed-loop joint optimization, calculating the temperature difference between the hot spot area and the reference area, carrying out distance normalization processing on the temperature difference, and outputting a standardized temperature difference result.

A surface estimation method includes a region-setting step and an estimation step. In the region-setting step, a reference region that is one of a three-dimensional region and a two-dimensional region is set. The three-dimensional region includes three or more points and is set in a three-dimensional space. The three-dimensional space includes three-dimensional coordinates of three or more points on a subject calculated on the basis of a two-dimensional image of the subject. The three-dimensional coordinates of the three or more points are included in three-dimensional image data. The two-dimensional region includes three or more points and is set in the two-dimensional image. In the estimation step, a reference surface that approximates a surface of the subject is estimated on the basis of three or more points of the three-dimensional image data corresponding to the three or more points included in the reference region.

An example device for decoding video data includes a memory configured to store video data; and one or more processors configured to: decode data representing an initial motion vector for a current block of the video data, the initial motion vector having integer-motion vector difference (MVD) precision; determine a search range around a reference area identified by the initial motion vector in a reference picture; perform a template matching search process in the search range to identify a best matching region; determine error values for neighboring pixels to the best matching region; use the error values for the neighboring pixels to perform a model-based fractional-pixel motion vector refinement to derive motion vector difference values; apply at least one of the motion vector difference values to the initial motion vector to determine a refined motion vector for the current block; and decode the current block using the refined motion vector.

A method and a device for encoding / decoding an image according to the present invention may determine a reference region for intra prediction of a current block, derive an intra prediction mode of the current block on the basis of a predetermined MPM candidate group, and perform intra prediction on the current block on the basis of the reference region and the intra prediction mode.