1510results about How to "Achieve correction" patented technology

The invention discloses a garment QD code recognition method. The method includes the following steps that firstly, a two-dimension code image attached to a garment raw material is collected; secondly, the image is subjected to graying, fast median filtering and binarization processing; thirdly, the image having been subjected to binarization processing is subjected to edge extraction; fourthly, two side edge regions obtained after edge extraction of a QR code are separated out; fifthly, Hough transform is adopted to detect a side-edge imaginary line so as to obtain the deviation angle of the QR code; sixthly, the image having been subjected to binarization processing is rotated according to the bilinear interpolation method, and initial correction is carried out; seventhly, the QR code is positioned, the sequence of three view finding images is determined, and the QR code is adjusted to have a correct orientation according to the image matrix transposition turning method; eighthly, decoding is carried out according to the national two-dimension code standard. According to the method, due to the combination of projection cutting and the Hough transform method, the deviation angle of the QR code can be quickly and accurately acquired, the collected image is immune from noise pollution and uneven illumination, and the two-dimension code image easy to identify can be obtained through transform.

Provided is a measuring device and a calibration method for optical lens distortion. The measuring device comprises a single star light simulator, an adjusting rack, a to-be-tested lens, a CCD (charge coupled device) camera, a one-dimensional air flotation turntable, an angle encoder, a computer and an optical platform. The calibration method includes the steps of using a centroid localization algorithm to determine centroid position coordinates of a star point image when the to-be-tested lens is under different fields of view, establishing a calibration model for the to-be-tested lens distortion based on the distribution of the centroid position coordinates of the star point image under the entire field of view, and realizing the calibration of the distorted to-be-tested lens. The measuring device and the calibration method for the optical lens distortion has the advantages that the device is simple; the method is convenient; measurement accuracy is high; and the optical lens distortion can be easily measured and calibrated.

A lighting device (1) comprises a plurality of LEDs (11-14) producing light (21-24) of mutually different colors. The LEDs are driven in switching cycles (63) with a duty cycle controlled supply current of constant magnitude. In each switching cycle, each LED is first switched ON (61) and then switched OFF (62).

In a measuring mode, during one switching cycle (63B), all ON phases of all LEDs are briefly interrupted, except for one LED (11), so that a light sensor (70) measures the light from this one LED. This measurement can be used to adapt the duty cycle of this one LED. In the next switching cycle (63C), the interruption of the ON phases is compensated by extending the ON phases of all LEDs except said one LED, the extension having a duration equal to the duration (τ_D) of the interruption.

The invention discloses a text correction method and device. The specific implementation scheme includes the steps that text information input by a user is received; at least one error word in the text information is determined through a first language model; candidate words corresponding to the error words are determined on the basis of a preset rule; the candidate words are used for taking the place of the error words to obtain corrected text information. The implementation mode can be used for performing accurate text correction.

The invention discloses a method for calibrating and correcting temperature measurement of an infrared probe as well as a corresponding temperature measuring method. The temperature measurement calibration and non-uniform correction process is as follows: the non-uniform correction is carried out firstly; the temperature measurement calibration is carried out after a collection parameter sum is generated; however, the non-uniform correction is not stopped simultaneously; and in the non-uniform correction, a step of circularly judging whether an extrusion exists in a parameter or not is carried out; and if so, the parameter is corrected; otherwise, the judgment is continuously carried out. A temperature measurement calibrating process comprises the following steps of: carrying out the non-uniform correction once by using the calculated non-uniform parameter for each probe response of collecting a temperature; then recording the temperature and probe response data; repeating the processuntil collecting enough data; and fitting the data to obtain a probe temperature response function. By utilizing the method disclosed by the invention, the steps of non-uniformly correcting and calibrating the temperature measurement of the infrared probe are simplified into one step, so that the correction and the calibration which can be previously realized by the two steps are conveniently realized on one hand, and the precision of the temperature measurement can be improved on the other hand.

The invention discloses a multiple input multiple output (MIMO) radar array position error self-correcting method based on a genetic algorithm, belonging to an MIMO radar array position error self-correcting method. The method comprises the following steps of: carrying out one-dimensional spectral peak search according to an ideal array element position by utilizing a MUSIC method to obtain the initial value theta k of direction of arrival (DOA); generating an initial group, carrying out individual fitness evaluation according to f(G), and finding out f max; carrying out genetic evolution operations of selection, crossing, heteromorphosis and the like to generate a new generation of search group, and carrying out fitness evaluation to reduce a deviation factor sigma; revising the theta k according to the optimal individual in the population; and carrying out genetic iteration until a greatest iteration number is set. By using the method, online estimation and correction of array position error can be finished while the DOA estimation is carried out, thereby the robustness of estimation of system parameters is improved.

The invention relates to a full-automatic material taking and material feeding sewing machine. The full-automatic material taking and material feeding sewing machine comprises a fabric taking device, a fabric position correction system, an air pump system and a sewing material pressing and feeding device, wherein a horizontal guide rail is arranged in the X direction above a machine frame; the entire fabric taking device can conduct movement in X direction along the horizontal guide rail and can further conduct movement in Z direction on the horizontal guide rail; a linear module in a Y direction is arranged at the lower part of the fabric taking device; a rotating and regulating mechanism is arranged at the lower part of the linear module in the Y direction; a sucking disc fixing plate is arranged at the lower part of the rotating and regulating mechanism; the fabric position correction system comprises a fabric position sensing device; the fabric position sensing device comprises at least three sensors and a driving system that monitors the position of the fabric and transmits the signals of the fabric position deviation to the fabric taking device; the driving system corrects the placing position of the fabric through adjusting the global movement of the fabric taking device in the X direction, the Y-direction movement of the linear module in the Y direction and the rotating angles of the rotating and regulating mechanism.

The invention provides a method for restoring a road traffic scene and a driver driving behavior based on multi-sensor data. Through the multi-sensor data and multi-restoration algorithm fusion, precise restoration of the road traffic scene and the driver driving behavior is realized. The method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data particularly comprises the steps that the precise restoration of a vehicle running track is realized by mutual calibrating of multi-source data; precise measuring of the speed and distance of a barrier is realized on the basis of single-camera vision and a millimeter-wave radar; and the multi-source data fusion generation is smaller than the road traffic scene, and the driving behavior is greater than data pairs. According to the method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data, the defects that the data source in the prior restoration art is singular, high quality data is obtained relying on expensive equipment, and restoration precision is low are overcome.

The invention provides a channel correcting method of multichannel TD-RRU, which comprises the following steps: a pseudo-noise (PN) sequence is constructed in a baseband signal as a reference sequence; after the conversion of the baseband signal and an intermediate frequency/radio frequency signal of the reference sequence at a TD-RRU sending end, the reference sequence is sent into a radio frequency channel; after the conversion of the radio frequency/intermediate frequency signal of a corresponding received signal at a TD-RUU receiving end, a processed received sequence and the reference sequence are processed by chip time delay operation to obtain the chip time delay of the radio frequency channel; the radio frequency channel is processed by time delay correction of a chip grade according to the chip time delay so as to finish chip synchronization; the received sequence and the reference sequence are processed by weight value correction operation to work out an inconsistent coefficient of amplitude/phase in the channel within a chip period so as to obtain a corrected weight value; and the channel is processed by amplitude/phase compensation according to the corrected weight value so as to eliminate the inconsistency of the channel and realize the correction of the channel. The method can reduce errors of the channel and meet the requirement on precision of a system.

The invention discloses a neural-network-based artifact correction method and apparatus of a CT image. The method comprises: preprocessing of CT data is carried out to generate a database carrying outan input sample of at least one kind of artifact; a neural network for correcting the at least one kind of artifact is constructed; the input sample is inputted into the neural network and the neuralnetwork is trained by a preset objective function to obtain a trained neural network; and a to-be-processed CT image is inputted into the trained neural network to carry out artifact identification and correction, and a corrected CT image and an identified artifact image are outputted. On the basis of deep learning, the CT image including multiple kinds of artifacts is processed by the neural network, so that the quality of the CT image is improved.

This invention relates to a memory error-finding and writing back of the automatic space computer anti-reversing of single particle. In the whole error-finding process, the memory controller codes the thirty-two digit data written into the memory according to improved Hemming form and writes the correction codes and original data into the designed memory unit. In the data reading process, the memory controller corrects the data and correction codes. When finding the data digit error, it turns for microprocessor. When finding the more than two digit error, it turns for microprocessor trap software.

The invention discloses a method for united correction of MIMO radar transceiving array errors, wherein the method can improve array error correction precision. Echo signals of an antenna array are obtained, the echo signals are utilized to construct a receiving array covariance matrix and a transmitting array covariance matrix, the covariance matrixes of both a receiving array and a transmitting array are utilized to respectively correct the received and transmitted array errors, angular measurement inaccuracy caused by array errors is avoided, and the array errors of the receiving array and the transmitting array can be simultaneously corrected; orientation dependence occurs in an array guiding vector due to the array errors in collection, the antenna array rotates through J angles by enabling the antenna array comprising M array elements to be arranged on a turntable, the echo signals of the antenna array at each angle are respectively received, sample data of plenty of orientation angles of a plurality of orientations can be collected, and array error correction precision is improved. The method is suitable for being popularized and applied in the field of array signal processing.

A method and equipment for correcting the amplitude and phase difference of array channels in a time-shared duplex intelligent antenna system is disclosed. Said method includes such steps as setting up a switch array in the front of transceiver of the first channel for switching between transmission and receiving and between up and down correcting links, performing up correction through outputting a known sequence to the transmitter of the first channel, connecting up correcting link, detecting the responses of all receiving channels and sampling while storing, or performing down correction through sequentially transmitting a known sequence to transmitters of N down channels, connecting down correcting link, detecting the known characteristic signal of the response from currently corrected channel, and sampling while storing, and calculating the correcting right of all up and down channels for weighting the wave beams.

A method for treating a screw-cement retained prosthesis, an abutment and an implant are disclosed. The method for treating the screw-cement retained prosthesis, which relates to an internal implant, comprises the steps of providing an abutment comprising a joining projection, repositioning the joining projection to a joining groove formed in the upper portion of a fixture, engaging the abutment to the fixture by using a screw, providing a prosthetic appliance including a screw hole, and bonding the prosthetic appliance and the abutment by interposing dental cement between the abutment and the prosthetic appliance. The present invention includes all of the advantages of screw retained prostheses and cement retained prostheses and at the same time can solve the disadvantages thereof. Using a leading inclined surface formed in the joining projection, the abutment and prosthetic appliance are easily separated from and remounted to the fixture.

The present invention discloses a method and device of gray scale correction of a display panel. The method comprises: assigning a plurality of test gray scales and a reference gray scale, detecting the actual brightness of each pixel when the display panel inputs each test gray scale and the reference gray scale, and calculating the test gray scale average brightness and the reference gray scale average brightness of the display panel; determining a first gamma value corresponding to each test gray scale according to the test gray scale average brightness and the reference gray scale average brightness; dividing the total gray scale into n gray scale areas, and determining a second gamma value corresponding to an ith gray scale area according to the first gamma value corresponding to each test gray scale located at the ith gray scale area; and determining the correction relative brightness of the pixel in any gray scale according to the actual brightness of any one pixel in the maximum gray scale and the second gamma value corresponding to each gray scale area. The method of gray scale correction of the display panel realizes correction of each pixel located at different gray scale areas through adoption of different second gamma values so as to improve the display quality of the display panel.

The invention discloses a traffic information data recovery method and a traffic information data recovery device, and relates to a traffic information technology. In the embodiment of the invention, firstly, a related road with large relevancy with a target road is determined and then a regression coefficient is determined according to historical traffic information data of the target road and the related road, so that when real-time data of the target road is missed or is inaccurate, traffic information data of the target road in a current time period can be determined by the traffic information data of the related road with the largest relevancy and the regression coefficient of the target road and the related roads; and the traffic information data of the target road is determined by the mode, so that the filling of real-time traffic flow missing data and the correction of the real-time data can be implemented and the integrity and the accuracy of traffic information publishing are also improved.

The embodiment of the invention discloses a method for correcting a radio-frequency channel. The method comprises the following steps that: a BBU obtains a channel estimation value of a first radio-frequency channel according to a digital correction signal fed back by an antenna unit, and determines an initial correction compensation coefficient of the first radio-frequency channel according to the channel estimation value; the BBU corrects the initial correction compensation coefficient of the first radio-frequency channel according to the time delay value and the sampling time of the first radio-frequency channel, such that a first correction compensation coefficient is obtained; the BBU performs alignment correction of the first correction compensation coefficient according to the correction compensation coefficient of a reference radio-frequency channel, such that a second correction compensation coefficient is obtained; and a transmitted signal mapped to the antenna unit is corrected according to the second correction compensation coefficient. The embodiment of the invention further discloses a device for correcting the radio-frequency channel. By means of the invention, various radio-frequency channels can be corrected; and the reciprocity of uplink and downlink channels can be ensured.

The invention relates to a brightness and chrominance correction coefficient generation device and a brightness and chrominance correction method for an LED (light emitting diode) display screen on the basis of a uniform color space. The method includes: according to relative magnitude relation between a brightness and chrominance value of each batch region and a set public brightness and chrominance target value, dividing a plurality of batch regions of the LED display screen into at least one first batch region and a second batch region except for the first batch region, correcting a public brightness and chrominance target value of the first batch region in the uniform color space to obtain a corrected public brightness and chrominance target value, and enabling the first and second batch regions to respectively take the corrected public brightness and chrominance target value and the public brightness and chrominance target value as respective brightness and chrominance correction target value to generate a brightness and chrominance correct coefficient. Correction target values of part of batch regions larger in brightness and chrominance difference are adjusted in the uniform color space, and brightness and chrominance differences among batches can be reduced or eliminated as far as possible on the basis that brightness and chrominance sacrifice proportions of multiple batches are guaranteed.

A computer program that indicates lexical impact of various words in a text and provides various statistics relating to lexical impact of the text. Also, a ranked thesaurus for listing alternative words (e.g., synonyms, antonyms, related), along with an indication of their relative lexical impact (item 141). The thesaurus may alternatively rank words according to ranking system.

The invention discloses a wheat growing status diagnosing method based on a mobile internet mode and leaf color analysis. The method is characterized by comprising the following steps that an intelligent mobile phone collects wheat leaf images and sends the wheat leaf images to a background server, the background server removes illumination effects on the wheat leaf images to achieve pre-processed sample images, wheat growing status information and disease results can be achieved from the pre-processed sample images through a color analyzing method and are fed back to the intelligent mobile phone, and the intelligent mobile phone receives the growing status information and the disease results and displays the growing status information and the disease results. The wheat growing status diagnosing method can achieve and analyze the wheat leaf information in real time, can comprehensively reflect wheat growing situations, disease and insect situations and further improves the accuracy of wheat growing status diagnosis.