260results about How to "Guaranteed image quality" patented technology

The invention relates to the technical field of camera adjustment, in particular to a camera adaptive adjustment method and system and a storage medium. The method comprises the following steps: acquiring a multi-source environment sensing data set and an initial environment image; performing environment feature recognition on the initial environment image according to the multi-source environment sensing data set to obtain a scene environment feature map; performing semantic scene segmentation on the scene environment feature map to obtain a semantic scene macroscopic feature map; performing time sequence attention target tracking on the scene environment feature map to obtain a target vehicle motion feature map; performing feature constraint fusion on the semantic scene macroscopic feature map and the target vehicle motion feature map to obtain a target vehicle-scene motion semantic map; and performing parameter adjustment on the camera according to the target vehicle-scene motion semantic map to obtain a camera parameter adjustment strategy set. According to the invention, the performance and the image quality of the camera in a changeable environment are improved.

The invention provides an optical lens. The optical lens comprises a lens barrel, and a lens group and a spacing element group which are assembled in the lens barrel, wherein the lens group sequentially comprises a first lens, a second lens, a third lens and a fourth lens from an object side to an image side along an optical axis; the spacing element group at least comprises a third spacing element; the third spacing element is positioned between the third lens and the fourth lens and is in contact with the object side surface part of the fourth lens; the effective focal length f of the optical lens, the effective focal length f3 of the third lens and the effective focal length f4 of the fourth lens meet the condition of 0.40 lt; f3 / f + f4 / f < = 0.75; the combined focal length f34 of the third lens and the fourth lens, the inner diameter d0m of the end face, closest to the image side, of the lens barrel and the inner diameter d3m of the image side face of the third spacing element meet the following formula:-0.05 lt; (d0m-d3m) / f < 34lt >; and 0.05%. The problem that stray light is serious due to the fact that an optical lens in the prior art meets the long-focus requirement is solved.

The invention discloses a light source intensity adjusting method and system for surface defect detection, and the method comprises the steps: setting a first light source intensity and a second light source intensity, and obtaining a to-be-detected region image under the corresponding light source intensity, the first light source intensity being smaller than the second light source intensity; the corresponding illumination instability degree is calculated according to the to-be-detected area image under the first light source intensity and the second light source intensity, the optimal light source intensity is determined by continuously reducing the range between the first light source intensity and the second light source intensity to search the light intensity mean value of the first light source intensity and the second light source intensity or by means of step-by-step light intensity adjustment, and the light intensity of the to-be-detected area is determined according to the optimal light source intensity. And carrying out surface defect detection and measurement work on the to-be-detected area. According to the invention, the optimal illumination light source intensity suitable for the current detection environment can be rapidly adjusted.

The invention discloses a route planning method and device for non-stop inspection of a fan, relates to the technical field of fan inspection, and mainly aims to perform accurate route planning on non-stop inspection of the fan and improve the efficiency and accuracy of non-stop inspection of fan blades. According to the main technical scheme, the method comprises the following steps: determining a shooting course corresponding to a mobile shooting terminal according to a windward angle of a target fan, wherein the windward angle is determined by performing key area identification and line connection on radar point cloud data of the target fan; determining waypoint dwell time according to the rotating speed of the target fan, wherein the rotating speed is determined based on position deviation calculation of adjacent images in the blade image data of the target fan; determining the number of waypoints and the distance between the waypoints according to the shooting range of the mobile shooting terminal and the blade length of the target camera; and deploying shooting waypoints in the shooting course according to the waypoint number, the waypoint spacing and the waypoint staying time to obtain a shooting route of the mobile shooting terminal. The method is used for non-stop routing inspection of the fan.

The invention relates to the technical field of image processing, in particular to an endoscope image processing method based on photodynamic imaging and an endoscope imaging system.The endoscope image processing method based on photodynamic imaging comprises the steps that a focus image is collected through a photodynamic imaging endoscope, and preprocessing, three-dimensional reconstruction, combined reaction and curative effect database analysis are conducted; configuring an image processing module according to the request, and docking three-dimensional display; according to the method, the technical problem that the imaging request cannot be quickly and accurately responded due to the fact that the speed of endoscopic image processing through empirical data is low is solved, and the effects that the endoscopic image is finely processed, the photodynamic reaction features are extracted and the imaging request cannot be quickly and accurately responded are achieved. The technical effects that the optimal image enhancement parameter is adaptively searched, the imaging request is quickly responded, and the image targeting enhancement is performed are achieved, so that the focus area is accurately and visually displayed in a three-dimensional manner, and the output quality of the endoscope image is remarkably improved are achieved.

The invention relates to a projection zoom lens, which comprises a first fixed group, a zoom group, a second fixed group and a focusing group which are sequentially arranged along an optical axis direction, the first fixed group comprises a first lens, a second lens and a third lens, the zoom group comprises a fourth lens, a fifth lens and a sixth lens, and the focusing group comprises a fourth lens, a fifth lens and a sixth lens. The second fixed group comprises a seventh lens, an eighth lens, a ninth lens, a tenth lens and an eleventh lens, the focusing group comprises a twelfth lens, a thirteenth lens and a fourteenth lens, the first lens to the fourteenth lens are sequentially arranged in the optical axis direction, and the zooming group and the focusing group can move in the optical axis direction for focusing; the wide-angle end and the long-focal-length end of the wide-angle long-focal-length lens are combined, the focal length ranges of the wide-angle end and the long-focal-length end are reasonably set, pictures are kept clear in large-range zooming and focusing, and the wide-angle long-focal-length lens has the advantages of being small in number of moving groups, invariable in total length, simple in zooming, small in size, low in cost, free of defocusing under the environment condition of large temperature difference, stable in working performance, high in projection quality and wide in application range.

The invention relates to the technical field of video coding, in particular to a power system monitoring video rapid coding optimization method and system, and the method comprises the steps: extracting a plurality of maximum coding units of a power system monitoring video frame; a quantization parameter is introduced, and a deep learning-based adaptive multi-scale space prediction network is used to predict the maximum coding units to obtain an optimal sub-coding block division mode of each maximum coding unit; dividing the maximum coding unit according to the optimal sub-coding block division mode to obtain sub-coding blocks to be coded; performing mode prediction on the sub-coding block by using a texture sensing network to obtain an optimal intra-frame coding mode of the sub-coding block; and coding the sub-coding blocks of the monitoring video of the power system according to the optimal intra-frame coding mode to obtain coded video stream data. According to the method, the intra-frame prediction process is optimized by combining the adaptive multi-scale space prediction network and the texture sensing network, the coding complexity is reduced, and the video coding speed is remarkably improved while the image quality is ensured.

The invention relates to the technical field of image detection, and particularly discloses a tongue image attitude correction and integrity detection method and system based on key point detection, and the method comprises the basic steps: firstly obtaining and processing a tongue image containing various kinds of information, constructing a neural network model for evaluation training, carrying out the transfer learning through a pre-training model, and optimizing the speed; the posture, integrity and accuracy are judged according to the positions of the tongue tip and the tongue root and the anatomical relation, a user is reminded of adjustment for detection abnormity, and if multiple failures occur, suggestions are automatically adjusted, and shooting is assisted. In the aspect of data processing, polymorphic tongue images are collected, enhanced and normalized, and the generalization ability of the model is enhanced. The network architecture is fused with ResNet and Transform, and the key points are accurately positioned. Performance is improved, real-time performance is guaranteed, accurate judgment is carried out according to the tongue tip position relation through scientific posture and integrity detection logic, and image quality is guaranteed. Clear prompt and auxiliary adjustment can be provided, tongue picture image acquisition is more efficient and accurate, and development of an intelligent traditional Chinese medicine tongue diagnosis technology is powerfully promoted.

The invention relates to a small projection lens. Comprising a first lens with positive focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with positive focal power, a fifth lens with positive focal power, a diaphragm, a sixth lens with positive focal power and a seventh lens with negative focal power which are sequentially arranged along the direction of an optical axis, the small projection lens comprises a first lens with positive focal power, an eighth lens with positive focal power, a ninth lens with negative focal power, a tenth lens with positive focal power and an eleventh lens with positive focal power, and the effective focal length and the total length of the small projection lens are reasonably set. The camera lens is small in size, low in cost, small in projection ratio and large in aperture, can be matched with multiple DMD chips, provides enough projection brightness and size, is clear and sharp in projection picture, high in contrast ratio and accurate in color restoration, and meets strict use requirements under vehicle-mounted high and low temperature environment conditions at the same time.

The invention discloses an automatic detection system and method for a high-speed green channel, and relates to the technical field of automatic detection of the green channel, and the method comprises the steps: constructing a high-speed green channel automatic detection cloud platform, carrying out the image quality evaluation of an X-ray detection image, and obtaining a target detection image group; extracting a target X-ray detection image from the target detection image group, analyzing goods in the target X-ray detection image, and analyzing the similarity between the goods in the target X-ray detection image and goods in the goods comparison data to obtain goods type data; analyzing the cargo loading condition in the to-be-detected truck to obtain characteristic cargo loading data; the method comprises the following steps: acquiring characteristic cargo loading data of a to-be-detected truck, generating detection data of the to-be-detected truck based on the characteristic cargo loading data in combination with preset detection condition data in a cloud platform, displaying the detection data to high-speed workers through the cloud platform, and intelligently detecting the truck in a high-speed green channel.

The invention discloses a physical intelligent magnetic resonance diffusion weighted image denoising and quantifying method, and relates to diffusion magnetic resonance weighted imaging. Comprising the following steps: 1) acquiring diffusion weighted magnetic resonance data acquired by using a multi-diffusion-direction planar echo imaging sequence; 2) designing a physical intelligent magnetic resonance diffusion weighted image denoising and quantification deep learning network model and a loss function; 3) using the training data set obtained in the step 1) to train a physical intelligent magnetic resonance diffusion weighted image denoising and quantification deep learning network model; and 4) inputting diffusion weighted data to be denoised into the trained network to generate a final denoising and quantification result. Through combined application of physical regularization loss and low-b-value data, the problem of low signal-to-noise ratio in magnetic resonance diffusion weighted imaging is effectively solved, image denoising is realized, and an accurate quantitative result is further provided. And the image quality and the ADC quantitative accuracy can be maintained and even improved while the acquisition times are reduced.

The invention provides an optical imaging lens, the optical imaging lens has eight lenses with focal power, and the optical imaging lens comprises a lens group, a spacing element group and a lens barrel group, the effective focal length f4 of the fourth lens and the interval EP34 between the third spacing element and the fourth spacing element in the direction of the optical axis of the optical imaging lens meet the condition that f4 / EP34 is greater than or equal to-10.62 and less than or equal to-5.20; the curvature radius R8 of the image side face of the fourth lens, the outer diameter D4s of the object side face of the fourth spacing element and the inner diameter d4s of the object side face of the fourth spacing element meet the condition that R8 / (D4s-d4s) is larger than or equal to 0.87 and smaller than or equal to 1.65. The multi-group optical imaging lens solves the problems that the middle group of the multi-group optical imaging lens in the prior art is unstable and stray light is serious.

The invention discloses a cell culture device for gene detection, and belongs to the field of gene detection. A cell culture device for gene detection comprises a detection box and a microscope, the detection end of the microscope penetrates into the detection box, the bottom of an inner cavity of the detection box is fixedly connected with a low-speed motor, the top end of the output end of the low-speed motor is fixedly connected with a rotating disc, and three sets of clamping bases are distributed at the top of the rotating disc at equal intervals; a culture dish is inserted into the clamping seat; through rotation of the rotating disc, an upper contact ball and a lower contact ball are in contact extrusion, so that gas in a gas collection box is pushed to repeatedly enter a spring telescopic rod, a clamping seat is pushed to slide back and forth at the top of the rotating disc, and a culture solution in a culture dish and cells are slightly shaken; and nutrient substances are promoted to be uniformly distributed in the culture dish, cells are effectively prevented from settling to the bottom of the culture dish, the respiration of the cells is facilitated, the culture speed of the cells is ensured, and the gene detection efficiency is improved.

The invention relates to the technical field of image sensor detection, solves the technical problem that a traditional method cannot perform multi-dimensional quality detection on an image sensor, and particularly relates to an image sensor quality detection method, device and system. The detection method comprises the following steps: constructing an image acquisition environment which keeps consistent illumination conditions when acquiring sequence images in a darkroom environment based on a sequence image acquisition device; setting exposure time, and acquiring a plurality of sequence images with different gray levels, which are output by the image sensor under different illumination intensities, in an acquisition environment; performing multi-dimensional detection on the sequence image and outputting a quality detection result; and determining whether the image sensor has defects according to the quality detection result. According to the invention, multi-dimensional detection can be carried out on whether the image sensor has defects or not, so that the image capturing performance of the image sensor under different conditions is accurately evaluated, the product performance is improved, and the image quality is guaranteed.

The utility model relates to the technical field of medical equipment, and discloses a lens assembling tool device which can enable a lens and an assembling component to be kept coaxial, then the assembling component is used for assembling the lens, the force application angle of the assembling component on the lens is not changed all the time, and therefore the lens assembling tool device can be used for assembling the lens. The main light angles of the assembled lens group can be consistent, the coaxiality is good, and the detection precision and the imaging quality of subsequent detection equipment are ensured. The lens assembling tool device comprises a frame body, at least one fixing seat, at least one group of assembling components and a coaxiality adjusting mechanism, the fixing seat is arranged on the lower portion of the frame body, a lens is arranged on the fixing seat, the assembling components are arranged on the upper portion of the frame body, each group of assembling components corresponds to one fixing seat in position, the assembling components are used for assembling the lens, and the coaxiality adjusting mechanism is used for adjusting the coaxiality of the lens. The coaxiality adjusting mechanism is arranged on the frame body, and the coaxiality adjusting mechanism is used for adjusting the coaxiality between the lens arranged on the fixing seat and the assembling component.

The utility model provides a large unmanned aerial vehicle lens which comprises a lens frame, a first pressing ring arranged on the periphery of the head of the lens frame in a sleeved mode and a second pressing ring arranged on the inner periphery of the tail of the lens frame in a sleeved mode. A plurality of lenses are clamped between the gaskets and between the gaskets and the first pressing ring; the first pressing ring, the second pressing ring, the gasket and the mirror frame are all made of aluminum alloy. The lens made of the aluminum alloy can be light in weight and has vibration and impact resistance stability, the temperature range is from-40 DEG C to 80 DEG C, the thermal expansion coefficient of the lens made of the aluminum alloy is small, the lens can be stably supported through cooperation of the first pressing ring, the second pressing ring, the gasket and the lens frame, the lens is prevented from deviating, and the service life of the lens is prolonged. The imaging quality of the lens is ensured.

The utility model relates to the technical field of optical lenses, in particular to a miniature lens, which sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens from an object side to an image side along an optical axis, the second lens has negative focal power; the third lens has negative focal power, and the object side surface of a paraxial region of the third lens is a concave surface; the fourth lens has positive focal power; the fifth lens has negative focal power, and the object side surface of a paraxial region of the fifth lens is a convex surface; the lens satisfies the conditional expression: 0.8 lt; cT1 * tan (FOV / 2) lt; 1.2; wherein CT1 is the center thickness of the first lens, and FOV is the maximum field angle of the lens. By reasonably matching the focal power, the surface type and the distribution parameters of each lens, the miniaturization of the lens is realized under the condition of ensuring the imaging quality, the area occupied by a camera in a screen is effectively reduced, the screen-to-body ratio of a full screen is improved, and the requirements of miniaturization, large aperture and high imaging quality are met.

The invention discloses an embedded firmware camera data modification method and device, a medium and equipment, and relates to the technical field of computer vision, and the method comprises the steps: collecting image data in real time, and carrying out the primary processing; a frame difference method and a background modeling algorithm are adopted to carry out region division and priority distribution on the image data after primary processing, and a region priority mapping table is generated; extracting feature points of a high-priority motion area in the optimized image data through an optical flow method, and calculating a motion vector between continuous frames; according to the calculated motion vector between the continuous frames, an event-driven frame processing mechanism is triggered, and the frame rate and the processing precision are automatically adjusted; through the motion vector extracted through the optical flow method, the motion speed of the object can be calculated in real time, the frame rate and the processing precision are dynamically adjusted according to the motion speed, it is ensured that enough details are captured in the rapid motion process, and processing resources are saved in the static process.

The invention belongs to the technical field of underwater light sources, and relates to a self-adaptive wide-spectrum underwater light source system. A self-adaptive broadband spectrum underwater light source system comprises an FPGA unit, a sensor unit, an illumination matrix and a camera. The FPGA unit analyzes image data captured by the camera and environmental data acquired by the sensor unit in real time through a light source adjustment algorithm, and adjusts the brightness, color temperature and spectrum output of the illumination matrix so as to optimize image quality under different water quality and water depth conditions; wherein the light source adjustment algorithm adjusts the RGB light intensity output weight by calculating the chromatic aberration between a standard color card and a real-time image; and outputting a final PWM signal through the PID controller so as to adjust the illumination matrix. According to the system, advanced image processing technology and environment monitoring technology are combined, and illumination is adjusted in real time through an integrated control unit, so that the image quality of underwater photography is optimized.

The invention discloses an unmanned aerial vehicle-mounted MIMO-SAR intelligent information processing device, and the device comprises an MIMO antenna array which is used for transmitting and receiving radar signals at different angles; the signal processing unit is used for performing amplification, filtering and analog-to-digital conversion on the received radar signal; the SAR imaging module is used for generating a high-resolution ground image according to the processed signal; the intelligent information processing module is used for automatically identifying and analyzing a target in the SAR image; the aircraft control module is used for adjusting a flight path and radar parameters so as to optimize the imaging quality; and the data transmission module is used for transmitting the processed data to a ground control center in real time. The device can be suitable for various application scenes including military reconnaissance, topographic mapping, disaster assessment, environment monitoring and the like, has wide adaptability and flexibility, and has high market competitiveness in unmanned aerial vehicle application.

The invention provides an optical imaging lens. The optical imaging lens can be used for near-infrared band imaging, the optical imaging lens comprises a lens barrel, a lens group and a spacing element group, and the lens group comprises a first lens, a second lens, a third lens and a fourth lens; the spacing element group comprises a first spacing element and a second spacing element, and the effective focal length f2 of the second lens, the center thickness CT2 of the second lens on the optical axis and the distance EP12 between the image side surface of the first spacing element and the object side surface of the second spacing element in the extension direction of the optical axis meet the condition that f2 / (CT2 + EP12) is greater than or equal to 1.03 and less than or equal to 2.88; the curvature radius R3 of the object side surface of the second lens and the outer diameter D1m of the image side surface of the first spacing element satisfy the following relation:-1.93 < = R3 / D1m < =-0.41. The optical imaging lens solves the problem of serious stray light caused by improvement of assembly stability of an optical imaging lens in the prior art.

The invention belongs to the technical field of computational imaging, and particularly relates to a physical information hybrid constraint-based parallel convolution single-pixel detector imaging method, which comprises the following steps of: S1, prefabricating a coding matrix by using a Hadamard matrix as a two-dimensional structured modulation light field; s2, obtaining one-dimensional light intensity coding information of a target scene through the output voltage of the single-pixel detector, carrying out parallel matrix, and establishing a parallel convolutional neural network model; s3, constructing a physical information constraint equation used for optimizing convolution parameters of the parallel convolutional neural network model; and S4, determining a physical information hybrid constraint condition, optimizing a convolution kernel of the parallel convolutional neural network model, and obtaining a target scene image. According to the method, neural network model parameters can be minimized in the imaging process of the single-pixel detector, the number of iterations is reduced, the imaging time is shortened, real-time single-pixel imaging under physical information driving is achieved, and the single-pixel detector can have higher imaging quality at a low sampling rate by introducing physical mixed constraints.

The invention provides an optical lens. The optical lens can be used for near-infrared band imaging, the optical lens comprises a lens barrel, a lens group and a spacing element group, the lens group and the spacing element group are located in the lens barrel, and a first spacing element is located between a first lens and a second lens and makes contact with one part of the image side face of the first lens; the minimum distance EP01 between the object side end face of the lens barrel and the first spacing element in the extension direction of the optical axis, the maximum thickness CP1 of the first spacing element, and the air interval T12 between the first lens and the second lens on the optical axis satisfy the following condition: 0.56 < = EP01 / (T12 + CP1) < = 1.01. The curvature radius R1 of the object side face of the first lens, the refractive index N1 of the first lens and the inner diameter d1s of the object side face of the first spacing element meet the condition that R1 * N1 / d1s is larger than or equal to-4.44 and smaller than or equal to-1.71. According to the invention, the problem of serious stray light caused by reduction of aberration in an optical lens in the prior art is solved.

The invention belongs to the technical field of breast cancer treatment and detection, and particularly discloses a 3D printing molded breast cancer prone treatment positioning device, which comprises a bottom plate fixed on a mobile platform of treatment and detection equipment; a first supporting piece, a second supporting piece and a third supporting piece are sequentially arranged on the upper surface of the bottom plate in the moving direction of the moving platform. The first supporting piece, the second supporting piece and the third supporting piece are used for supporting a human body; a detection cavity is formed between the second supporting piece and the third supporting piece and is used for accommodating mammary tissue of a human body; the pressing part is arranged on the upper surface of the bottom plate; the pressing part comprises a fastening belt, the inner surface of the fastening belt and the upper surface of the bottom plate define a fixing cavity for a human body to pass through, and the detection cavity is located in the fixing cavity; the fastening belt is used for surrounding ribs and the back of a human body and applying acting force to the human body; the breast detection device has the following advantages that through segmented supporting, the detection cavity and the fastening belt, tissue overlapping is effectively reduced, and the breast detection accuracy and stability are improved.

The invention relates to the technical field of video compression, in particular to a fire point video real-time monitoring method and system for forest fire detection, and the method comprises the steps: obtaining a visible light monitoring video and an infrared monitoring video; determining a first key frame from the visible light monitoring video according to the first fire point threshold value, and determining a second key frame from the infrared monitoring video according to the second fire point threshold value; determining the initial importance degree by using the area of the connected domain in the second key frame, the heat value of the connected domain in the second key frame, the second fire point threshold value and the first key frame; correcting the initial importance degree according to first temperature data and first smoke concentration corresponding to shooting of the first key frame, and second temperature data and second smoke concentration historically monitored in the target area to obtain a final importance degree; determining a quantization parameter according to the final importance degree; and performing video compression on the first key frame based on the quantization parameter. Therefore, the reliability and the flexibility of image compression are improved.

The invention relates to the technical field of projection display, and discloses a projector side projection blur correction method comprising the following steps: S1, data acquisition; s2, calculating a side projection angle adjustment value; s3, adjusting the angle of the projector; s4, establishing a model; s5, calculating a fuzzy kernel; s6, restoring the image; and S7, outputting a corrected image, through accurate data acquisition, angle adjustment, model establishment and image restoration steps, the definition of a projected image during side projection is significantly improved, the adjustment process is more objective and accurate, the image quality of a final correction result is ensured, and through a Gaussian blur model, the image quality is improved. Compared with the prior art, other types of fuzzy models are considered for comparison and selection, the simulation and recovery capability of the model to image blurring is improved, a deep learning method is combined for training the blurring kernel, the calculation precision and adaptability of the blurring kernel are improved, and a more accurate basis is provided for image recovery.

The utility model discloses a far infrared optical system and a far infrared optical lens, and the far infrared optical system sequentially comprises a first aspheric lens, a super lens and a second aspheric lens from the object side to the image side along the optical axis, the first aspheric lens is a negative lens, and the super lens is a positive lens. The surface, close to the object side, of the first aspheric lens and the surface, close to the image side, of the first aspheric lens protrude towards the object side. The focal power of the super lens is positive, the second aspheric lens is a positive lens, and the surface, close to the object side, of the second aspheric lens and the surface, close to the image side, of the second aspheric lens both protrude towards the image side. The super lens comprises a substrate and micro-nano structures, the micro-nano structures are arranged on the two sides of the substrate respectively, the positive and negative of the focal power of the front surface of the super lens are opposite to the positive and negative of the focal power of the rear surface of the super lens, and the super lens can eliminate certain chromatic aberration of the super lens. Through the combination of the first aspheric lens, the super lens and the second aspheric lens, the far infrared optical system is enabled to reduce the system size and the production cost to a certain extent on the premise of ensuring the imaging quality.

The application discloses a kind of autonomous ultrasonic robot multimode drag control method and device.The method comprises: obtaining real-time ultrasound image and the force data value of mechanical arm end;Determine whether the pixel value of ROI region of the ultrasound image of continuous preset frame number is greater than preset pixel threshold value: if yes, according to force data value and first initial control parameter, it is calculated to obtain the target displacement amount in X axis direction and Y axis direction, simultaneously, according to force data value, preset expected force and second initial control parameter, it is calculated to obtain the target displacement amount in Z axis direction;Tool coordinate system under target displacement amount is converted into world coordinate system under target displacement amount;Zero force control is implemented in the horizontal direction of probe contact surface, and constant force control is implemented in the vertical direction of probe contact surface, until probe moves to target position.The method improves the operation flexibility and scanning safety by the synergistic effect of zero force control and constant force control.

The invention discloses a method and a device for improving an image frame rate. The method comprises the following steps: carrying out image acquisition and exposure according to a set pulse time sequence; in a set pulse time sequence, part of image exposure and collection frames are filtered out according to a preset interval so as to obtain image frames needing to be reserved; and compensating the filtered partial image exposure and acquisition frame to obtain a compensated image frame.

The invention provides an F-P spectral imaging system and method, and belongs to the technical field of spectral component measurement, and the system comprises a front lens which is used for collecting light energy and converting the light energy into emergent light meeting the limitation of the clear aperture of an F-P interferometer; the annular band optical filter comprises a central area and a plurality of concentric annular areas surrounding the central area, the bandwidth of each area is the same as the free spectral range of the F-P interferometer, and the annular band optical filter is used for eliminating level aliasing in emergent light of the front lens; the F-P interferometer is used for carrying out wavelength selection on emergent light of the annular band optical filter and outputting an interference field; the imaging mirror is used for projecting the interference field to the detector; and the detector is used for converting the projected optical signal into a digital electric signal. The F-P spectral imaging system which can maintain high spectral resolution and also can realize wide spectrum coverage is constructed by introducing the annular band optical filter which is accurately matched with the FSR of the F-P interferometer.