181 results about "Distortion problem" patented technology

The present invention is related to sound generating devices such as audio speakers. Prior art audio speakers typically have inertia related distortion. The present invention provides methods and structures to solve the inertia distortion problem by stop-and-forget mechanism using stoppers.

Embodiments of the invention provide an image processing method and a mobile terminal, and belong to the technical field of communication. The method comprises the following steps: obtaining image data of collected frames in a high dynamic range image shooting process; analyzing the brightness of the image data, determining ambient brightness, and adjusting a high dynamic exposure time based on the determined ambient brightness; shooting according to the adjusted high dynamic exposure time to generate low dynamic range image data; and calculating the low dynamic range image data according to a preset synthesis algorithm to generate a high dynamic range image. The image processing method provided by the embodiments of the invention can be used for avoiding a high dynamic range image distortion problem caused by a fixedly set high dynamic exposure time and enabling the high dynamic range image to reflect the true environments of all scenes, namely, true details of a picture can be restored.

The invention provides an engineering nonlinear vibration inspection method. The method adopts a wavelet nonlinear threshold value filtering wave to filter wide-frequency background noise of a three-direction acceleration signal and to remove DC bias so as to get the treated acceleration signals after frequency domain filtering and removal of trend term. Then speed signals and displacement signals are obtained after the acceleration signals is subject to a first time and second time integrals and removal of trend term. The characteristics and types of the nonlinear vibration are determined through a three-dimensional phase space diagram and other calculations of a reconstructed phase space tested by the three-dimensional phase space diagram. The invention adopts three-direction low resistance piezoelectricity acceleration meter to measure the vibration accelerations of three orthogonal directions. The invention has convenient installation, easy usage and reliable analysis, overcomes the problems of drifting, delay and aberration of the actual acceleration signals after passing through analog integration or digital integration. The invention plays an important role in the engineering nonlinear vibration inspection for mechanical mechanisms, bridges, dams and buildings, etc.

Near field imaging using a THz imaging system is realized by utilizing an interferometric imaging detector array that includes detector elements disposed on a surface curved, physically or artificially, to match substantially the curvature of the wave front for received THz signals. Generally, the near field is an environment wherein the distance to an object of interest is on the order of 10-100 times larger than the physical size of the THz imaging array. Typical distances from the object or target to the imaging array is anticipated to be in the 0.5 m-50 m range. Curvature of the detector array corrects a distortion problem in prior THz imaging systems that utilized planar interferometric imaging arrays based on a planar wave front assumption for received THz signals.

An object pose normalization method and apparatus and an object recognition method are provided. The object pose normalization method includes: determining a pose of a non-frontal image of an object; performing smoothing transformation on the non-frontal image of the object, thereby generating a smoothed object image; and synthesizing a frontal image of the object by using the pose determination result and the smoothed object image. According to the method and apparatus, a front object image can be synthesized by using a non-frontal object image without causing an image distortion problem due to self-occlusion and non-rigid deformation.

The invention relates to an improved flame-simulation acceleration algorithm based on a particle system, which comprises the following steps: (1) pretreating a generated track so as to record accelerated speeds, colors and life value attributes of particles; (2) generating particles with a particle emitter; (3) distributing a track to each particle; (4) obtaining more three attributes of the particle from the track and updating other attributes of the particle; carrying out the step (5) if the particle reaches an end frame of the track; rendering the particle; updating track information, and carrying out the step (6) if the track life is 0; and repeating the step (4) till the system exits; (5) regenerating the particles and distributing the tracks; and (6) recalculating the tracks and regenerating all particles on the tracks. Compared with a method of the traditional particle system and a track method, the improved flame-simulation acceleration algorithm has the advantages that the calculated amount of the traditional method is greatly reduced, so as to play a role in acceleration on one hand; on the other hand, the distortion problem of rendering in the track method can be solved, the rendering of large-scale surface combustion can be supported, and the improvement can be realized.

The present invention provides a novel remeshing approach for genus-g meshes that overcomes distortion problems. The proposed approach is based on continuous mapping of a 2D grid on the 3D meshed model. The criteria of the new mesh can be defined directly on the 2D grid. The remeshing is invariant to the original mesh. Due to topological analysis, the mapping of the 2D grid onto the 3D mesh minimizes distortion and guarantees continuity. The 2D grid, the element shapes and the density (multiresolution) can be changed straightforwardly, thus generating a modular approach.

The invention discloses an all-weather colour camera white balance processing method and device. The method comprises the following steps: the mapping relationship table of exposure parameters of images, the image brightness and the environment illumination is obtained through training; an image to be processed is acquired and the image brightness of the current image to be processed and corresponding exposure parameters are acquired, and the current environment illumination information is acquired according to the exposure parameters, the image brightness and the mapping relationship table; the infrared influence removing process is performed on the image to be processed according to the current environment illumination information and the current infrared light intensity information that detected on a real-time basis; and the white balance correction is performed on the processed image obtained through the infrared influence removing process. By adopting the method and device of the invention, the distortion problem caused by the reason that correction cannot be performed effectively due to the influences of infrared light in the automatic white balance process can be avoided, and at the same time, the brightness problem in the low illumination condition can be solved to make a color image having the advantage of high quality still can be obtained in the low illumination condition.

An ultrasound gray-scale imaging system and method. The system comprises a probe (1); a transmission circuit (2) for exciting the probe (1) to transmit non-focused ultrasound beams to fluid; a receiving circuit (4) and a beam-forming module (5) for receiving echoes of the non-focused ultrasound beams and obtaining non-focused ultrasound echo signals; a signal processing module (6) for obtaining fluid display data after performing signal detection and enhancement process on the multi-group of non-focused ultrasound echo signals; an image processing module (7) for performing data conversion on the fluid display data and obtaining a B mode ultrasound image sequence; and a display (8) for displaying the B mode ultrasound image sequence to present the visual effect of fluid dynamic flow. A plurality of scanning lines even the whole image can be obtained for one time by utilization of non-focused wave or plane wave emission, time resolution of the ultrasound image can be largely improved, and the distortion problem when high-speed blood flow is displayed by traditional gray-scale blood flow imaging is solved.

The invention discloses a riverway flood inundation simulation method based on water level monitoring data. According to the method based on the scattered water level monitoring data collected along a riverway, firstly, piecewise linear interpolation is carried out on a center line of the riverway, and water level values of all places along the center line of the riverway are obtained; secondly, on a riverway DEM, the flood water level of each DEM box is worked out according to the nearest neighbor interpolation; lastly, the actual inundation range and the actual inundation water depth distribution of riverway flood are calculated according to the seed region growing method in the riverway. According to the riverway flood inundation simulation method, the natural form change of riverway winding up and down is fully taken into consideration, interpolation is carried out on the value of the riverway water level between water level monitoring stations according to distance parameters, and the interpolation water level distortion problem can be effectively avoided. Meanwhile, the riverway flood inundation simulation method can effectively solve the problem that due to the fact that the number of the flood water level monitoring stations distributed on the riverway is too small, and water level monitoring data sample points are insufficient, a conventional flood water level space interpolation method based on overall areas is hard to apply.

A patch-type extrinsic Fabry-Perot interferometric fiber optic sensor and a real-time structural vibration monitoring method using the same are disclosed. The patch-type extrinsic Fabry-Perot interferometric fiber optic sensor is provided by combining the existing EFPI (Extrinsic Fabry-Perot Interferometer) fiber optic sensor with a direction-detecting sensor which can acquire direction information of a strain of a structure, which can solve a signal distortion problem occurring in the existing EFPI fiber optic sensor through a simple signal process. The patch-type extrinsic Fabry-Perot interferometric fiber optic sensor includes a piezoelectric material which can apply a control force to the existing EFPI fiber optic sensor, and a self-sensing bridge circuit for extracting the direction information when the piezoelectric material is used as an actuator, so that the sensible range of strain can be extended and the piezoelectric material can directly be used as the actuator based on the sensed signal.

The invention provides a wide angle photograph shooting method, apparatus, holder, unmanned aerial vehicle and robot. The method for obtaining wide angle photographs comprises the following steps: controlling a lens to shoot in multiple azimuth angles, wherein the multiple azimuth angles comprise n latitude information and m longitude information, n is an integer which is more than or equal to 2, and m is an integer which is more than or equal to 1; photographs shot in multiple azimuth angles shot by the lens is synthesized into the wide angle photograph. The lens is controlled for shooting in azimuth angles, the photographs shot by the lens in multiple azimuth angles are synthesized into an ultra-wide photograph, in order to realize shooting of ultra-wide photographs without distortion problems of fish-eye lens, and improve quality of the ultra-wide photograph.

The invention relates to a scene flow estimation method based on 3D local rigidity and depth map guided anisotropic smoothing. The method comprises the following steps: S1, acquiring a texture image and a depth image which are aligned at the same time through an RGB-D sensor; S2, building a scene flow estimation energy functional, and calcualting a dense scene flow based on a 3D local rigidity surface hypothesis and a global constrained method, wherein the form of a scene flow energy function is shown in the description; S3, designing date items based on the texture image and the depth image as well as the 3D local rigidity surface hypothesis; S4, designing smoothing items based on a depth map driven anisotropic diffusion tensor and total variation regularization; S5, creating an image pyramid, and adopting a coarse-to-fine solution strategy; and S6, calculating a scene flow by use of a duality method, and introducing scene flow auxiliary variables. According to the invention, the weight of a space-domain filter is determined by both the chromatic aberration and location relationship between the pixels of a color image, and therefore, the edge distortion problem in the process of repair is solved. In order to reduce repair error, the weight of a value-domain filter is determined by the color information and the structural similarity coefficient.

The invention discloses a water level gauge positioning and water level measuring method based on image processing, wherein the water level gauge positioning method comprises the following steps: calculating the longitudinal inclination angle of a mark rod main body of a pre-extracted water level gauge image; obtaining a water level gauge main body image after inclination correction by adopting arotation correction technology according to the longitudinal inclination angle of the mark rod main body; correcting perspective distortion by using a calibration point technology for the main image of the water level gauge after inclination correction; using a projection method to carry out adjacent pixel repair on a missing value part in the distortion-corrected image; carrying out accurate target clipping on the repaired image according to the coordinate equation of the left and right dividing lines; the starting position of the water level gauge and the position of the boundary line with the water surface are identified and the main body position of the water level gauge is cut according to the starting position and the position of the boundary line with the water surface. According tothe water level gauge positioning and water level measuring method based on image processing, the distortion correction is carried out on the water level gauge image after the inclination correction,the distortion problem caused by the non-parallel lateral boundary of the target caused by the viewpoint selection angle of the image is solved, and the precision of target extraction is improved.

The invention discloses an enhanced display method for color high dynamic range image. The enhanced display method for color high dynamic range image comprises the following steps: executing the nonlinearity correction for the RGB image, building the color image brightness model and extracting the brightness information, building color image chroma model and extracting the chroma information, executing the Retinex filtering operation to the brightness, combining the new brightness with the chroma information and reducing into the RGB image. The method selects the suitable brightness and color model for improving the gray level distribution of the result image and effectively reducing the color distortion problem in the result image, the information included in the high dynamic range image is well recovered by the Retinex filtering operation. The enhanced display method for color high dynamic range image is used for the image enhanced processing unit of the digital camera with HDR function, field surveillance camera and other image collecting device and for the transform processing process for displaying high dynamic range image on the low dynamic range device. The brightness and chroma model of the method is simple and practical, the image is displayed in enhanced mode and the color is kept without distortion.

The invention discloses a low-distortion three-dimensional picture outer polar line correcting method. According to the low-distortion three-dimensional picture outer polar line correcting method, the process that outer polar lines are corrected to be parallel to the x axis of a picture coordinate system is divided into the two steps that the outer polar line of a left view and the outer polar line of a right view are corrected to be mutually parallel and the outer polar line of the left view and the outer polar line of the right view are corrected to be parallel to the x axis of the picture coordinate system. In order to reduce the projection distortion caused by the outer polar line correction process, one of the left view and the right view of a three-dimensional picture is kept unchanged, correction is only carried out on the other view, and the method that rotation is replaced by vertical displacement is adopted. According to the low-distortion three-dimensional picture outer polar line correcting method, parallax difference optimization is further carried out, and therefore the consistency of parallax information of the three-dimensional picture before correction and the three-dimensional picture after the correction is ensured. The low-distortion three-dimensional picture outer polar line correcting method solves the projection distortion problem caused by the traditional three-dimensional correction algorithm to the great degree, the corrected three-dimensional picture with small distortion can be obtained, and the consistency of the parallax information before the correction and the parallax information after the correction can be ensured.

The invention relates to an intelligent camera tracking car model for racing tracks. The intelligent camera tracking car model comprises an energy supply system, a signal collecting system, a central processing system and an executing system; and the central processing system comprises the following processing steps: 1. performing binaryzation on a gray level image collected from the signal collecting system; 2. performing side boundary extraction on the binaryzed image; 3. identifying the racing track according to the extracted side boundary and determining the advancing direction of the car model; 4. calculating the included angle between the optimal advancing direction of the car model and the actual advancing direction of the car model to control a steering engine so as to control the direction; and 5. obtaining the expected speed of the car model through offset, namely, the distance between the axial wire of the car and the axial wire of the racing track, and controlling a drive motor to control the speed. The intelligent camera tracking car model disclosed by the invention fully utilizes the information of a whole frame of image to extract the racing track, thereby overcoming the image fuzzy distortion problem and determining the optimal advancing direction of the car model in real time to realize intelligent tracking of the car model.

Near field imaging using a THz imaging system is realized by utilizing an interferometric imaging detector array that includes detector elements disposed on a surface curved, physically or artificially, to match substantially the curvature of the wave front for received THz signals. Generally, the near field is an environment wherein the distance to an object of interest is on the order of 10–100 times larger than the physical size of the THz imaging array. Typical distances from the object or target to the imaging array is anticipated to be in the 0.5 m–50 m range. Curvature of the detector array corrects a distortion problem in prior THz imaging systems that utilized planar interferometric imaging arrays based on a planar wave front assumption for received THz signals.

The invention discloses a near space low-speed platform SAR (Synthetic Aperture Radar) imaging method, which specifically comprises the following steps: acquiring target echo; rearranging data; performing pulse compression in range dimension; performing variable-aperture back projection imaging; and performing data splicing and outputting an imaging result. The solution of the invention is that a wide view field and common aperture working mode is adopted, and large-scene imaging is realized on the basis of a gradient aperture back projection method; the space-variant problem of range migration is solved by using the back projection method; a gradient aperture is used in the azimuth direction, so that the space-variant and image distortion problems caused by different resolutions in the azimuth direction of an image in case of different view angles are solved; and finally near space low-speed platform SAR large-scene imaging is realized.

The invention discloses a filtering method for intra-frame and inter-frame prediction. For pixel values obtained after prediction, whether to filter prediction blocks or not is adaptively selected through RDO (Rate distortion optimization) decision; filters are established based on a generalized Gaussian distribution function; different filters are employed for the prediction blocks of different sizes; the prediction blocks of various sizes are trained to obtain filter parameters. At a coding end, RDO is carried out on each coding unit; intra-frame prediction or inter-frame prediction is carried out on each coding unit; the prediction blocks are filtered through utilization of the filtering method provided by the invention; and whether to employ prediction block filtering or not is determined through RDO decision. At a decoding end, for different prediction block sizes, different filtering coefficients are set; and decoding is carried out according to marks. The distortion problem of the prediction blocks is solved. The prediction precision is improved. The coding efficiency of intra-frame and inter-frame prediction blocks is improved.

The invention discloses a method for compensating radar image dual-aspect information. The method comprises the following steps: acquiring data of two mountainsides of a mountain in a quasi-synchronization manner by using a rise orbit and a decline orbit of a radar satellite to realize dual-aspect imaging of the two mountainsides of the mountain; performing orthorectification on dual-aspected SARimages respectively by using the orthorectification method based on SAR image simulation to generate layover and shadow mask images of the two dual-aspected images; performing topographic radiation correction on the dual-aspected orthorectificated SAR images by using a method based on the RD positioning model and a projection angle factor to correct backscattering coefficient distortion caused byforeshortening; performing registration superposition on the dual-aspected SAR images based on geographic coordinates to compensate layover and shadow regions on one image of the two dual-aspected images by using pixel values of corresponding normal regions on another image of the two dual-aspected images. By adopting the technical scheme provided in the invention, information loss problem on onepicture, such as layover, shadow, etc., caused by topography can be compensated effectively, and the backscattering coefficient distortion problem caused by the foreshortening phenomenon is solved.

The invention discloses a communication radiation source individual identification method and system. According to the technical scheme, the method comprises the steps of: receiving communication radiation source signal, carrying out radio frequency preselection amplification, carrying out frequency mixing, carrying out intermediate frequency filtering, carrying out A / D conversion, carrying out digital orthogonal demodulation, carrying out rectangular integration double-spectrum transformation, dividing rectangular integration double-spectrum characteristic vectors into a training sample set and a testing sample set, constructing a rectangular integration double-spectrum characteristic dictionary, carrying out non-linear transformation, carrying out mapping to a cooperation projection matrix, constructing a classifier, obtaining classification residual errors, and using the type corresponding to the smallest classification residual error as type of a communication radiation source individual. According to the invention, a small sample problem in a communication radiation source individual identification process is solved, the time complexity of the algorithm is lowered, and the phase and amplitude information distortion problem in the process when an existing method based on the time domain, frequency domain or time frequency domain is used to process non-stable or non-Gaussian signals is adopted.

The invention discloses a dynamic milling force measuring method based on tool vibration displacement, and the method improves bandwidth of a measuring system, realizes precise measurement of dynamic milling force, can carry out dynamic compensation on the measuring system, improves bandwidth of the measuring system and realizes precise measurement of dynamic milling force. In order to overcome the limitation, in dimensions of processed workpieces, quality of processed workpieces, measured bandwidth, a mounting way and the like, of an existing dynamic milling force measuring method, the invention discloses a method for indirectly determining dynamic milling force through vibration displacement by utilizing measuring radial vibration displacement of a cutter bar of a rotary milling cutter during milling processing of a laser vibration measurer according to a relationship of vibration displacement and milling force of the milling cutter, solves the measuring distortion problem of milling force at a high milling speed of the milting cutter, carries dynamic compensation for the measuring system, improves bandwidth of the measuring system, and realizes precise measurement of dynamic milling force.

The invention relates to a generation method of image distortion correction data in a two-dimensional galvanometer scanner. A correction template provided with (2N+1)2 sampling points is included, and N is natural number. The method comprises the steps of: (1), setting a scanning range and points of the correction template in a software program, wherein a standard graph formed by all sampling points on the correction template is consistent with the scanning range, coordinate values of the sampling points on the correction template are computed according to the scanning range, the computed coordinate values of the sampling points are used as data before being corrected to be stored; (2), scanning the sampling points on the correction plate, controlling a moving light beam through the software program to enable the light beam to be coincided with the sampling points on the correction template, recording coordinate values of the scanned sampling points to be used as corrected data of the sampling points; and (3), obtaining the corrected data of all sampling points. The coordinate values before and after being corrected are substituted into a Newton's interpolation formula, i.e. the image distortion problem in the two-dimensional galvanometer scanner is solved.

The invention discloses a display screen with irregularly arranged LED pixel points and a fabrication method thereof. A circuit board of the display screen takes an irregular shape, independent LED lights and driver ICs are welded on the irregular circuit board, an electric wire is used for connection on the circuit board, and the circuit board is connected with a control display program. The fabrication method is as follows: by arranging the LED pixel points and according to a sequence process of the pixel points, an image wiring information coordinate file is automatically generated by software; and image generating software retransforms the picture to generate a data file corresponding to the irregular display screen so as to control the normal display of the display screen. The method can help fabricate various irregular LED displays, can control orderly display of pictures and words on the display screen, and can solve the distortion problem of the displayed pictures and words due to the regular shape of the LED display screen.

The invention discloses a method for constructing a color background of a grayscale target image, comprising: adopting an infrared camera to capture a plurality of color scene images; obtaining a panorama of the fixed region through image stitching technology; then acquiring a part of the grayscale scene graph in the panoramic information by using the infrared camera; performing pixel-scale scaling on the same object in the panorama and grayscale scene graph, so that the size of the grayscale scene graph is scaled to the same size as the corresponding position of the panorama; and finally, obtaining the color background image at the same position as the grayscale scene image from the panorama by template matching. The invention avoids the information distortion problem caused by directly coloring the color image, and may highly restore the scene information. The invention utilizes the scale invariance of the SIFT features in the prior knowledge to obtain a good detection effect. The invention obtains a color background image skillfully by using the image processing method, which is less in time consuming, low in cost and high in precision.

The invention discloses a method for deleting abnormal point data in reverse engineering, wherein center distance deviation smoothness measuring date are utilized to obtain distortion points in a curve inspection method, and the obtained distortion points are deleted; the method well solves the data distortion problems caused by various factors, can improve the data measuring accuracy through the provided deleting strategy for the abnormal point data to obtain more complete right measuring data of a true model, and plays an important role in subsequent model reconstruction work.

The invention relates to a face image super-resolution reconstruction method based on DCT (Discrete Cosine Transform) domain eigen transform, and relates to the image processing field. For the face image super-resolution reconstruction method, the energy concentration characteristic for DCT is utilized; the low frequency part utilizes a DCT domain interpolation amplification method; the high frequency part utilizes a method based on PCA (Principal Component Analysis) to predict the high frequency information; and as the input LR (Low Resolution) image is operated in the DCT domain, after processing, and a method based on bilateral filtering for the DCT domain is used, the blocking effect is removed adaptively. AA blocking DCT coefficient of the image can be obtained by decompressing the compressed image part; the blocking DCT coefficient is directly applied to a provided algorithm, so that the operation time for the image processing algorithm is reduced. For the compressed image, as rough quantification of the DCT coefficient causes distortion of image compression, super-resolution restoration is performed in the DCT domain so that algorithm process is operated from the source of distortion and the distortion problem of image compression can be preferably solved. Compared with a traditional algorithm, the face image super-resolution reconstruction method based on DCT domain eigen transform can be directly applied to a compressed image, and the reconstructed image can have higher subjective and objective quality.

The embodiment of the invention discloses a pervasive-terminal-oriented continuous and multi-resolution encoding method of a three-dimensional grid model. The method comprises the following steps: a server side simplifies the grid model by adopting a characteristic-strengthened quadric error measuring method; the server side establishes a multi-resolution grid structure with continuous and adjustable resolutions on the basis of a simplification process; the server side transmits the multi-resolution grid structure with continuous and adjustable resolutions to a pervasive terminal; and the pervasive terminal determines the size of the received corresponding resolution of the multi-resolution grid structure according to the resolution of a terminal screen and the resolution information carried by the grid structure. According to the embodiment of the invention, the situation of more grid characteristic loss when the three-dimensional grid model is smaller can be avoided, and therefore, the serious distortion problem existing in the multi-resolution structure when the resolution is smaller is avoided; in addition, the situation of unmatching between the model resolution and the screen resolution can be improved better.

The invention discloses a high-precision x-ray microscope sample scanning table with a metering rotary shaft. A scanning rotary table (2) is arranged on a fixed base (1); a drive device of the scanning rotary table (2) is arranged outside the fixed base (1) and is used for driving the scanning rotary table (2) to rotate; a three-dimensional positioning platform (6) is fixedly arranged on the upper part of the scanning rotary table (2); a sensor installation seat (3) is arranged outside the fixed base (1); a Z-direction run-out error measuring sensor (4), an X-direction run-out error measuring sensor (8), a first swing error measuring sensor (5), a second swing error measuring sensor (7) and a third swing error measuring sensor (9) are respectively arranged on the sensor installation seat (3); the error correction is carried out on the scanning rotary table (2) by using an active correction control method according to the size of the errors measured by each sensor, and the run-out error correction is also can be carried out in a three-dimensional image reconstructing process by using a mathematical algorithm, so that a scanned image distortion problem caused by position error precision of the rotary table rotary shaft can be reduced or eliminated.