705results about "Color measuring devices" patented technology

The invention relates to the technical field of quality detection in material manufacturing and coating processes, in particular to an intelligent color difference analysis and detection method for paint, which comprises the following steps: S1, acquiring a multispectral dynamic compensation image; s2, texture-color coupling separation is carried out; s3, carrying out adaptive chromatic aberration modeling; s4, process correlation visualization is carried out, color difference data is mapped into a scalable thermodynamic diagram, and grid density is dynamically adjusted according to detection precision; and analyzing geometric feature parameters of the abnormal region, matching a process defect mode library to generate an optimization suggestion, and superposing the optimization suggestion on the thermodynamic diagram by a visual identifier. Through real-time data acquisition, texture interference elimination, model adaptive optimization and process defect analysis, the overall detection precision and efficiency are improved, the intelligent adaptive characteristic is achieved, and different production environments and base material types can be adapted, so that the coating production process is optimized, and the consistency of the coating quality is ensured.

The invention relates to the technical field of display screen detection, and discloses a liquid crystal display screen color difference detection system and method.The system comprises a multispectral imaging module, a curved surface deformation modeling module, a coupling tensor decomposition module, a biological excitation feature extraction module, a dynamic compensation control module and a technological parameter interface module; the method comprises the following steps of synchronously collecting a multispectral image and screen deformation data, constructing and decomposing a multidimensional tensor containing geometric constraints, extracting biological excitation visual features, and generating and applying voltage compensation through model prediction control so as to dynamically correct the color difference of the flexible screen. According to the method, through multispectral and geometry synchronous perception, multidimensional tensor constraint decomposition, biological excitation and deformable convolution feature extraction, time-varying model prediction control and dynamic weight adjustment of fused manufacturing parameters, high-precision capture and personalized compensation of the dynamic chromatic aberration of the flexible screen are realized. The defects of dynamic perception, quick response and individual adaptability are overcome.

The invention relates to the technical field of color measurement, in particular to a color measurement method based on hyperspectral imaging, which comprises the following steps: judging whether the chromatic aberration of a to-be-measured sample needs to be calculated or not, and if the chromatic aberration of the to-be-measured sample needs to be calculated, presetting a standard color value, and acquiring dark background hyperspectral data of the to-be-measured sample based on a hyperspectral imaging device, otherwise, directly acquiring the dark background hyperspectral data of the to-be-measured sample based on the hyperspectral imaging device. According to the method, the dark background hyperspectral data, the reflectivity calibration plate data and the real-time hyperspectral data of the sample are collected and corrected, so that the color measurement precision can be remarkably improved, the interference of an ambient light source and equipment noise is eliminated, the finally obtained standard real-time hyperspectral data is ensured to reflect the real spectral characteristics of the sample to be measured, and the accuracy of color measurement is improved. And the corrected standard real-time hyperspectral data can more accurately reflect the reflectivity spectrum of the sample to be detected, so that the calculation of the color value is more accurate.

The invention relates to the technical field of textile finished product production, in particular to a surface detection machine for textile finished product production, which mainly comprises a workbench, a detection bin fixedly mounted on the top surface of the workbench, a color detector fixedly mounted on the top surface of the detection bin in a penetrating manner, a straightening mechanism arranged above the workbench, and a cleaning mechanism, the sweeping mechanism is arranged on one side of the detection bin and comprises a T-shaped plate located on one side of the detection bin and a blowing mechanism, and the blowing mechanism is arranged on one side of the T-shaped plate. When an arranged T-shaped plate reciprocates, an air bag is extruded through a second fixing block, air in the air bag is sprayed out of a spray head through a communicating pipe, and therefore foreign matter on the surfaces of cloth and a soft brush is blown away, so that the foreign matter is not prone to passing through the soft brush, and it is guaranteed that the foreign matter cannot shield and cover the surface of the cloth; the detection machine which directly irradiates the cloth to evaluate the color accuracy of the cloth can obtain clear and interference-free data, so that the detection accuracy is improved.

The invention provides a printing color consistency automatic calibration and management system and method, and the method comprises the steps: collecting a current environment temperature and humidity ink matching parameter density curve data dot increase compensation parameter in real time through a state detection device, and forming a current state data set; performing similarity analysis on the reference data set and the current state data set by adopting a matching degree evaluation algorithm, and judging a relationship between a matching degree numerical value and a preset threshold value; adjusting and correcting the calibration reference value and the color control parameter in the reference data set according to the offset compensation set to obtain a compensated and adjusted parameter set; on the basis of the compensated and adjusted parameter set, generating update code data by combining a current time identifier and an operator identifier, and forming new two-dimensional code information; and outputting the new two-dimensional code information to a subsequent work order carrier by adopting a code generation module, and establishing a parameter transmission tracing chain.

The invention provides a hydrogen monitoring sensing mechanism and a hydrogen leakage detection device based on RGB color analysis, and belongs to the field of hydrogen leakage detection. The hydrogen monitoring and sensing mechanism is used for collecting a color signal of the hydrogen-sensitive color-changing adhesive tape and converting the color signal of the hydrogen-sensitive color-changing adhesive tape into an electrical signal, and the hydrogen monitoring and sensing mechanism comprises a light source assembly, a photoelectric sensor and an auxiliary monitoring assembly; the light source assembly is used for irradiating the hydrogen-sensitive color-changing adhesive tape; the photoelectric sensor is used for collecting a color signal of the hydrogen-sensitive color-changing adhesive tape and converting the color signal of the hydrogen-sensitive color-changing adhesive tape into an electrical signal; the auxiliary monitoring assembly is used for increasing the effective monitoring area of the hydrogen monitoring sensing mechanism.

The invention discloses a fabric production method capable of randomly changing appearance and functions and a fabric. The fabric production method comprises the following steps: S1, selecting an unmagnetized magnet with the thickness range of 1-30mm and the width of 1-100mm; s2, arranging a magnet matrix and the size according to requirements, customizing a pressing mold, and adjusting parameters to meet the requirements of the front and back effects after the base cloth and the fabric are subjected to hot-pressing compounding; s3, performing composite molding on the magnet and the base cloth fabric by adopting a high-frequency machine or a thermocompression bonding mode; and S4, cutting the composite molded fabric according to requirements, magnetizing magnets in the fabric by using a magnetizer, activating the magnetism of the magnets, and randomly adsorbing and combining the fabric with decorations or products with magnetic attraction or magnetism leading through a magnetic attraction mode of the magnets, so as to realize random appearance and function change. According to the invention, the fabric with a magnet adsorption function can be produced, and a user can replace ornaments or accessories on the fabric at any time according to personal preferences or actual demands, so that the free transformation of the appearance and the function of the fabric is realized.

The invention discloses a method for dynamically monitoring the drying quality of fruits and vegetables by fusing chromatic aberration-shrinkage rate analysis. The method comprises the following steps: placing a fruit and vegetable sample on a rotatable objective table, drying according to a preset program, and carrying out multi-angle shooting by using a digital camera according to a timestamp to obtain an RGB color image; the method comprises the following steps: preprocessing by an image analysis system, converting an image into a Lab chromaticity space, calculating a chromatic aberration value delta E and a comprehensive shrinkage rate S, integrating data to generate a change curve, and constructing an appearance form model. In actual drying, real-time data and the model are compared, and early warning is carried out when the color difference value exceeds 3.5 or the shrinkage rate deviation exceeds 15% and image acquisition is abnormal. The drying equipment is provided with a high-precision electric rotary objective table, a specific annular light source array, a high-resolution camera and a standard calibration color card, and illumination and color measurement accuracy is ensured through calibration. Through multi-step operation, accurate and dynamic monitoring of fruit and vegetable drying quality is achieved, and drying process optimization is assisted.

To provide a technology that can capture the characteristics of glittering powder and reproduce them as an image with high precision and realism.SOLUTION: An image generation method comprises: a glittering agent information acquisition step for acquiring at least one of optical property information and shape information of glittering powder; a color signal calculation step for calculating a color signal of the glittering powder by applying the optical property information to a three-dimensional reflection property model, which is a mathematical model that describes a light reflection process of the glittering powder; a color value calculation step for calculating a color value of the state in which the glittering powder is applied based on the color signal; and an image generating step for generating an image of the state in which the glittering powder is applied based on the color value and the shape information.SELECTED DRAWING: Figure 1

The invention relates to a color detection method and device. The method comprises the following steps: acquiring a first display area image of a display screen to be detected under a preset display color, and determining a target threshold range corresponding to the preset display color; and determining a coarse detection result according to the target threshold range and the target pixel value of the first display area image in the HSV color space. And determining a fine detection result according to the pixel value of the first display area image in the RGB color space under the condition that the coarse detection result is qualified, determining a color detection result of the display screen to be detected according to the fine detection result, and determining a color detection result of the display screen to be detected according to the coarse detection result under the condition that the coarse detection result is unqualified. Wherein the target threshold range is determined according to a plurality of second display area images of the qualified display screen under a plurality of environment parameters and preset display colors. By adopting the method, the accuracy of color detection can be improved.

The invention discloses a textile test color matching instrument, and relates to the technical field of textile, the textile test color matching instrument comprises a shell, a switching assembly is arranged in the shell close to the rear surface, an adjusting assembly is arranged in the shell, and a linkage assembly is arranged on the outer surface of one side of the shell; according to the color matching instrument for textile testing, in the process of detecting textiles through the color matching instrument, a stepping motor is started, a driving shaft is driven to rotate, meanwhile, an electromagnet is disconnected from an external power source, the driving shaft drives a plurality of illuminating lamps to rotate to the position which is concentric with a light hole, and the colors of the textiles are detected; the electromagnet is disconnected with an external power supply, the driven gear is driven to rotate, then the rotating shaft is driven to rotate, the prism body is adjusted to a required angle, the prism body is indirectly driven to rotate by using the stepping motor, and the two independent power sources are combined into one power source.

The invention discloses a color correction method, system and device based on cooperative flight of double unmanned aerial vehicles, a medium and a product, and relates to the technical field of agricultural detection. According to the method, a double-unmanned-aerial-vehicle cooperative flight mode is adopted, one unmanned aerial vehicle (namely the first unmanned aerial vehicle) flies at a high height for aerial photographing, the other unmanned aerial vehicle (namely the second unmanned aerial vehicle) carries a color card to synchronously fly at a low height, multiple farmland images containing the color card are obtained, a color correction matrix is constructed based on the RGB value of the color card in the farmland images and the actual RGB value of the color card, and the color correction matrix is obtained. Color correction under a dynamic illumination condition is realized, the problem of color distortion in a low-altitude remote sensing imaging process of the unmanned aerial vehicle is overcome, the reusability of cross-sensor data is improved, accurate acquisition of crop colors by the unmanned aerial vehicle in a field environment is realized, and reliable data support is provided for accurate crop management.

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

An image forming apparatus includes an image former that prints a color chart on a sheet, an in-line colorimeter that performs color measurement of color patches formed on the color chart, and an image processor that performs color adjustment based on colorimetric values of the color patches formed on the color chart. The image processor combines multiple divided colorimetric data obtained by performing color measurement of color patterns into which a chart is divided, the chart in which color patches are arrayed to be common to the color chart, and obtains colorimetric values of the color patches formed on the color chart from the multiple divided colorimetric data combined.

The invention provides a garment processing fabric detection device, and relates to the technical field of garment processing. Two conveying rollers which are parallel to each other up and down are rotationally mounted on frame bodies at the two ends of the detection frame respectively, and the conveying rollers are used for conveying fabric to enter from the detection frame and to be sent out from the other end; two twisting rollers are vertically arranged in the middle of the detection rack in a left-right parallel mode, and fabric passing through the conveying roller at one end is twisted to the conveying path at the other end after passing through the twisting rollers and is twisted by 180 degrees. When stretching detection is carried out on fabric in a distorted state, the stretching operation on the fabric in the distorted state is realized through cooperative work of components such as an air cylinder, a connecting plate, a strong magnetic flitch plate, an embedding plate and a magnetic sleeve by utilizing the characteristics of magnetic attraction of magnets, friction force among the components, elasticity of springs and the like, and the fabric can be effectively clamped in the stretching process; the fabric is ensured to be in a required stretching state, and the effectiveness and the accuracy of stretching detection are ensured.

The present application discloses a feed additive and preparation method for promoting intestinal health of livestock and poultry, which comprises the following steps: S1, adding water to montmorillonite and sodium chloride, stirring evenly to form a suspension slurry with a concentration of 10% to 20%, sodiumizing at room temperature, and re-forming the slurry with water to a concentration of 15% to 40%; S2, slowly adding cetylpyridinium chloride to the slurry of step S1 under stirring, and continuously stirring at room temperature for a certain time; S3, slowly adding carvacrol to the slurry of step S2 under stirring, and continuously stirring at room temperature for a certain time; S4, dehydrating the reaction solution of step S3, and drying the obtained filter cake; the dried filter cake needs to be inspected to see if it is completely dried; S5, crushing to obtain a feed additive for promoting intestinal health of livestock and poultry. Adding 0.1% of the feed additive for promoting intestinal health of livestock and poultry to the diet of laying hens can increase the egg production rate of laying hens by 1.5 percentage points, effectively control spotted eggs, and increase the qualified egg rate by 2 percentage points.

Provided are an optical measurement device, an optical measurement system, and a gamma adjustment method in which a measurement time is shortened.　The optical measurement device measures a light emission characteristic of a specimen, and comprises: a light emission condition acquisition unit that acquires a light emission condition of the specimen from the outside in advance; and a measurement condition setting unit that sets a measurement condition on the basis of the acquired light emission condition.

To provide a foreign body removal method from processed food capable of detecting a foreign object mixed in processed food to support the removal of foreign objects.SOLUTION: The foreign body removal method from processed food is a foreign body removal method from processed food performed by a system that includes a camera for picking out images of transported processed food and a controller capable of communication with the camera. The method includes the steps of: acquiring optical image data picked up by the camera including multiple pieces of wavelength information; detecting an object included in the processed food based on the optical image data; and when determining the object is the object to be removed from the processed food, transmitting the location information of the object to be removed, transport speed information for the processed food, and a control command that requests the object to be removed in association with each other to a removal device that executes the removal of the object to be removed included in the processed food.SELECTED DRAWING: Figure 6

The present invention relates to the technical field of cloth inspection machines, and specifically to a cloth inspection device for clothing production, comprising: a transmission and cleaning cloth frame structure; the transmission and cleaning cloth frame structure comprises a cloth inspection support frame; the transmission and cleaning cloth frame structure is equipped with a dust removal and cleaning structure and a cloth inspection transmission structure on the inner side, and the dust removal and cleaning structure and the cloth inspection transmission structure are assembled and connected with a driving transmission structure; the upper and lower ends of the transmission and cleaning cloth frame structure are equipped with visual cloth inspection structures for cloth inspection on both sides of the cloth. The equipment adopts an automated transmission and positioning mechanism, such as a servo motor, a worm gear transmission, etc., to realize automatic transmission and precise positioning of the cloth, reduce the complexity and error rate of manual operation, and improve production efficiency. Through the anti-stretching cloth inspection structure, the equipment can perform anti-stretching detection on the cloth to ensure that the cloth does not break or deform during the stretching process, thereby ensuring the physical properties of the cloth.

To provide a state grasping system capable of grasping the state of resin.SOLUTION: A state grasping system 10 includes: an acquisition unit 4 for acquiring data on a feature amount related to the state of resin by analyzing a target object containing the resin; an extraction unit 5 for extracting the feature amount from the data acquired by the acquisition unit 4; a grasping unit 6 for grasping the state of the resin from the feature amount extracted by the extraction unit 5 and a state grasping model for grasping the state; and an output unit 2 for outputting at least one of the result of grasping by the grasping unit 6 and information obtained by the result of the grasping.SELECTED DRAWING: Figure 1

The invention discloses color difference detection equipment and process for production of high-wear-resistance regenerated polyester dyed cloth, and relates to the technical field of color difference detection equipment. Comprising a rack main body, a control main body is arranged at the front end of the rack main body, the rack main body is provided with a mounting mechanism for color difference detection for high-wear-resistance regenerated polyester dyed cloth production, and the mounting mechanism comprises a detection assembly and a control assembly, according to the invention, a red, green and blue three-primary-color narrow-band optical filter is adopted, and a second bevel gear and a worm connected with the second bevel gear are driven to rotate through meshing; the worm is meshed with a worm gear on the outer wall of the vertical shaft to drive the vertical shaft to rotate, and then the connecting rod drives the three sets of mounting frames to rotate synchronously, so that optical filter switching is achieved, the cloth cover chromatic aberration performance in different illumination environments can be simulated, the detection result is more accurate and comprehensive, the detection error caused by single illumination is reduced, and the detection efficiency is improved. And the comprehensiveness and the accuracy of chromatic aberration detection are improved.

The invention discloses a benchmarking calibration device and a benchmarking calibration method of a colorimetric instrument, which are used for reducing calibration cost and improving accuracy of calibration measurement. The calibration device comprises a calibration main body, a fixed sliding block and a diaphragm, a placing space for placing the display module is arranged in the calibration main body, a guide groove is formed in the calibration main body, a measuring hole is formed in the guide groove, and the guide groove is communicated with the placing space through the measuring hole; the fixed sliding block is arranged in the guide groove, a first through hole and a second through hole are formed in the fixed sliding block, the fixed sliding block is controlled to move along the guide groove, so that the first through hole is aligned with the measuring hole or the second through hole is aligned with the measuring hole, and the fixed sliding block is used for connecting the standard colorimetric instrument and the colorimetric instrument to be measured. A probe of the standard colorimeter is aligned with the first through hole, and a probe of the to-be-measured colorimeter is aligned with the second through hole; the diaphragm is arranged in the measuring hole or arranged in the first through hole and the second through hole respectively, and the diaphragm is controlled to adjust the aperture size of the diaphragm.

An intraoral scanner comprises a first light source configured to generate first light that is monochromatic, a second light source configured to generate second light that is multichromatic, a third light source configured to generate third light. The intraoral scanner further comprises a mirror configured to direct at least the first light and the second light onto teeth of a patient, and to redirect first returning light, second returning light, and third returning light returning from the teeth to one or more sensors, wherein first returning light is associated with the first light, the second returning light is associated with the second light, and the third returning light is associated with the third light. The scanner further comprises the one or more sensors configured to perform hyperspectral imaging of the teeth based on at least one of the first returning light, the second returning light, or the third returning light.

The invention provides a lens optical fiber array coupling system and a chromaticity measurement system and method, and belongs to the field of chromaticity measurement, and the lens optical fiber array coupling system comprises an imaging lens which is used for obtaining incident light of an object to be measured and guiding the incident light to an array optical fiber; the end face of the array optical fiber is located on the first image plane of the imaging lens, the normal of at least part of the optical fiber end face in the array optical fiber has a deflection angle relative to the normal of the first image plane, and the deflection angle is angle deflection performed by taking the main light ray of the light received by the corresponding optical fiber position as a target reference; and the imaging spectrometer is used for receiving the light information sent by the array optical fiber. By setting the deflection angle of the array optical fiber, the effective receiving area of the optical fiber is maximized, and the change of the transmission efficiency of light of different wavebands is avoided.

The invention relates to the technical field of color difference correction, in particular to a method for correcting a color measurement result of a colorimeter, which comprises the following steps of: acquiring a sample Lab value, calculating a coordinate index correction matrix, acquiring an original coefficient, inputting segmented regression, extracting characteristics, calculating deviation weighting, and acquiring a regional offset; the method comprises the following steps: acquiring a neighborhood compensation channel offset, calling an offset to adaptively correct the neighborhood compensation channel offset to obtain a boundary front value, performing boundary verification limiting amplitude callback processing to obtain an output result, and updating a knowledge base to accumulate deviation incremental counting to optimize the color measurement precision, in the invention, through regionalization analysis and a piecewise linear regression model, the accuracy and flexibility of color difference correction are improved, and the color measurement accuracy is improved. Through the weighting processing and neighborhood compensation technology, correction inaccuracy caused by large errors is effectively reduced, it is ensured that the corrected measurement value does not exceed a reasonable range, an unstable correction result of a traditional method is avoided, adaptability is high, fault tolerance is high, measurement consistency and reliability of the colorimeter are improved, and the method is suitable for popularization and application. The method has obvious advantages especially in a complex chromatic aberration correction scene.

A spectral sensing device and associated methods for enhanced diagnostic capabilities across medical fields are disclosed. The device incorporates multispectral, hyperspectral, and photoplethysmography technologies to analyze biological features including tongue, oral cavity, saliva, teeth, and other tissues. The system transforms any standard RGB camera into a multispectral imaging device by training machine learning models to associate RGB values with spectral values inside and outside the visible spectrum using measurements from a single pixel detector spectroradiometer. A multimodal neural network with separate processing branches analyzes spectral images, non-spectral images, and tabular data to predict microbiome composition. The system generates health risk assessments by comparing predicted microbial abundances to thresholds associated with various medical conditions. Near-infrared sensing enables blood flow monitoring, subcutaneous imaging, and assessment of physiological parameters. Convolutional neural networks enable spectral reconstruction without requiring the physical device, while supporting continuous monitoring in various form factors.

The invention discloses a fruit damage assessment method and device in a camellia oleifera fruit picking process, and relates to the technical field of damage assessment. Comprising the following steps: acquiring a plurality of camellia oleifera fruit samples and physiological feature parameters thereof, acquiring spectral image data of fruits, and preprocessing the spectral image data to generate a training sample data set; and establishing a convolutional neural network model based on the data set, inputting spectral image data, and performing training by taking the physiological feature parameters as labels to obtain a physiological feature parameter prediction model. In the picking process, spectrum and visible light true color images of fruits to be detected are obtained, and physiological and appearance characteristic parameters are extracted. And calculating a physiological injury influence coefficient and an external injury influence coefficient according to the predicted value, comprehensively obtaining a fruit injury evaluation index, comparing the fruit injury evaluation index with a dynamically corrected injury degree judgment threshold, and sending out a corresponding injury state judgment result. Damage evaluation of camellia oleifera fruits can be realized, and the picking quality is improved.

The invention provides an image gray scale estimation method and system, computer equipment and a storage medium, and belongs to the field of image processing, and the method comprises the steps: projecting light stripes to a plane where a calibration plate is located, and calibrating a plane equation where each light stripe is located; projecting a plurality of pieces of structured light to the surface of the detected tubular object, collecting reflected light rays of the detected tubular object, and extracting light stripe centers; carrying out surface reflection coefficient relative value calibration on the plane of the measured tubular object to obtain a plurality of surface reflection coefficient values of the surface of the measured tubular object; and averaging the plurality of reflection coefficients, and calculating a theoretical gray value of the surface of the measured tubular object according to the average value of the plurality of reflection coefficients. According to the method, the gray level distribution of the surface of the object can be accurately estimated under the specific illumination condition through optical simulation, the influence of factors such as illumination and reflection on the gray level of the image is better simulated and optimized, more reliable data support is provided for defect detection of the tubular object, and the precision and robustness of structured light three-dimensional scanning are improved.

The invention discloses an on-line color measurement method. The method comprises the steps of optical system correction, image acquisition, image correction preprocessing, chromatic aberration calculation, ink channel ink quantity adjustment and continuous measurement adjustment. The method has the beneficial effects that the defect that traditional equipment only monitors a color control strip area is overcome, the problem that the image deviates from a design pattern due to factors such as a printing position, paper deformation and lens distortion can be effectively solved through spatial correction of the image, and after pixel-level registration, the color control strip area of the image can be effectively corrected. The image and the design image are in pixel-by-pixel correspondence, so that the detection accuracy is improved, reference correction is implemented by setting a fixed color block, and a color block strip is arranged in the field of view of the imaging camera as a correction color code, so that the imaging camera can synchronously obtain the correction color code in the process of obtaining the image in real time, and the detection accuracy is improved. And the color difference value of the image can be accurately calculated, so that accurate correction can be effectively carried out.