743 results about "Single pixel" patented technology

The invention discloses a special environment laser radar system and method based on polarization modulation and laser coding. The laser radar system comprises a polarization modulation laser emitting unit, a multi-channel receiving unit and a compressed sensing reconstruction unit. The polarization modulation laser emission unit comprises a laser, a beam expanding module, a spatial light modulator, a micro galvanometer array, a spatial filter and a first focusing lens which are arranged in sequence; the multi-channel receiving unit comprises a second focusing lens, a polarization beam splitter and a single-pixel detector array which are arranged in sequence; and the compressed sensing reconstruction unit comprises a compressed sensing processing module, an image reconstruction module and a loop adaptive control module which are arranged in sequence. The anti-interference capability in a complex environment is enhanced through polarization modulation, the detection resolution and the signal-to-noise ratio are improved in combination with laser coding, the imaging quality and stability of the laser radar in a special environment are greatly improved, and the method can be widely applied to the fields of military reconnaissance, disaster rescue, unmanned driving and the like.

The invention relates to the technical field of cholesteric liquid crystal electronic paper display, and discloses a cholesteric liquid crystal electronic paper display panel and a driving method thereof, and the cholesteric liquid crystal electronic paper display panel comprises an upper substrate, a lower substrate, a grid scanning line and a signal line, the electrode strip blocks continuously extend in the direction of a grid scanning line, each electrode strip block corresponds to one row of pixels, a single pixel corresponds to one pixel electrode, the electrode strip block corresponding to each row of pixels is conducted with the ITO electrode in the corresponding row through a conductive spacer, the ITO electrode is located on the periphery of a display area of the display panel, and in the direction of a signal line, the ITO electrode is connected with the electrode strip block in the corresponding row. The size of a single pixel is larger than the width L of each electrode strip block and larger than or equal to the width L'of a pixel electrode, and the distance S between every two adjacent electrode strip blocks is larger than or equal to the width W of a grid scanning line. According to the display panel and the driving method thereof, by optimizing the common electrode structure and the driving time sequence, the display performance and the refreshing efficiency of cholesteric liquid crystal electronic paper are remarkably improved.

According to the ellipsometer based on the micro-nano deformable structure provided by the invention, the ellipsometer can be reduced to a sub-pixel level by the metasurface based on the micro-nano deformable structure, and when a large amount of the micro-nano deformable structure is integrated in the space, parameters of a measured surface of a whole measured material can be obtained in an imaging form; the limitation that a traditional ellipsometer can only perform single-point measurement is broken through; namely, two-dimensional measurement can be carried out in an imaging mode, the defect of single-point measurement of a traditional ellipsometer is overcome, the on-chip size of the ellipsometer is greatly reduced, and the size of the ellipsometer is reduced to the single-pixel level; the micro ellipsometer can be combined with different optical lens groups to detect the optical property and uniformity of the whole film in an imaging manner, and the defect of single-point detection of a traditional micro ellipsometer is overcome; according to the total variation-based full Stokes polarization vector reconstruction model, constraint is applied to iteration internal data, so that an operation result is more stable and is easy to converge.

The invention discloses a rapid polarized light acoustic imaging device which comprises an excitation source, a light beam shaping module, a rapid polarization modulation module, an energy feedback module, a rapid scanning module and an acquisition processing module. And receiving photoacoustic signals corresponding to the exciting light in four different polarization states for calculation, and extracting anisotropy information of the sample. Compared with multiple times of scanning a sample or modulating the polarization state by rotating a half-wave plate, the problems of dislocation of multiple times of polarization acquisition points and false positive calculation are avoided, meanwhile, the time interval generated by continuously modulating the laser pulses is short, and energy fluctuation among the four pulses and errors caused by fluctuation are reduced. According to the invention, the limitation of the precision and speed of polarized light acoustic microscopic imaging is overcome, the microstructure characteristics in the target sample can be rapidly, accurately and highly sensitively detected, and the method has great application prospects in biomedical imaging and high-precision material detection.

The embodiment of the invention provides an optical detection device which comprises an imaging assembly and a photoelectric detection device, and the imaging assembly is used for forming an image on an image plane of a to-be-detected area of a wafer. And the photoelectric detection device is used for receiving images and is arranged at the image plane. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly, the light beam separation assembly is used for dividing a continuous first light signal in an image into multiple beams of second light signals, and the light beam separation assembly comprises a microlens array. The sensor assembly is used for receiving multiple beams of second optical signals, and each pixel unit of each sensor in the sensor assembly is used for receiving one beam of second optical signal in the multiple beams of second optical signals. The sensor assembly comprises a single-pixel sensor, and the single-pixel sensor corresponds to one micro lens in the micro lens array; and / or, the sensor assembly comprises a multi-pixel sensor, the multi-pixel sensor corresponds to a plurality of microlenses in the microlens array, and spatial segmentation is beneficial to improving the signal-to-noise ratio.

Described is a system for anomaly detection from hyperspectral data. The system receives, from a hyperspectral sensor, input hyperspectral data cubes with input data bands for every pixel. Using an optimization technique, an optimized number of virtual bands is determined to use for combining the hyperspectral data cubes to achieve optimal anomaly detection performance. The optimized number of virtual bands is less than the input data bands, resulting in reduced hyperspectral data. The hyperspectral data cubes are combined into the optimized number of virtual bands with the optimal bandwidth for each virtual band, and a set of combined hyperspectral data is output. Anomalies are detected in the set of combined hyperspectral data using an anomaly detection technique. Based on the detected anomalies, single-pixel or subpixel targets of interest are detected in the combined hyperspectral data.

The invention discloses a method for improving the axial resolution of photoacoustic microscopic imaging obtained based on a single-pixel frequency domain. The method comprises the following steps: 1) creating a Fourier substrate pattern with the spatial frequency of k in the axial direction; 2) respectively irradiating four Fourier substrate patterns with the spatial frequency of k and the initial phases of # imgabs0 #, # imgabs1 #, # imgabs2 # and # imgabs3 # to an imaging object, carrying out photoacoustic microscopic imaging, and acquiring data by using an ultrasonic transducer to obtain a response value of the ultrasonic transducer; 3) according to the obtained response value of the ultrasonic transducer, adopting a four-step phase shift method to obtain a Fourier coefficient corresponding to the spatial frequency k; and 4) gradually increasing the spatial frequency of the Fourier substrate pattern to the cut-off frequency of the objective lens, further obtaining Fourier coefficients corresponding to all spatial frequencies, obtaining a complete Fourier spectrum, and performing inverse Fourier transform to obtain a photoacoustic microscopic image after the axial resolution is increased. The method disclosed by the invention is expected to promote wider application of photoacoustic microscopic imaging in living cell and tissue imaging.

The invention relates to the technical field of MIP devices, solves the problems that in the prior art, a single-pixel MIP device is large in pin number, low in screen body contrast ratio and high in manufacturing cost, and provides an all-in-one MIP device and a manufacturing method thereof.The manufacturing method comprises the steps that a substrate to be processed is obtained, and bonding pads and copolar lines are formed on the second surface of the substrate through deposition; depositing and forming an insulating layer in a non-pad area in the second surface; forming a through TGV conductive through hole in the substrate along the thickness direction, and forming a conductive metal layer in the TGV conductive through hole; forming back pin metals in one-to-one correspondence with the TGV conductive through holes on the first surface to form a pin array; welding the LED chips on the bonding pad in a flip-chip manner, and arranging the LED chips at intervals to form pixel units; and a packaging layer is deposited and formed on the LED chip and the gap area of the LED chip, and the all-in-one MIP device is obtained. The number of the pins is reduced, the contrast ratio of the screen body is improved, and the manufacturing cost is reduced.

The invention provides a high-order distributed fire-fighting unmanned aerial vehicle task allocation method and system, and relates to the technical field of unmanned aerial vehicle task allocation, and the method comprises the following steps: obtaining a thermal infrared image and necessary parameters; calculating the length and width of a thermal infrared image coverage area corresponding to a single pixel point; converting the thermal infrared image into a grey-scale map, carrying out binarization processing on the fire area, and calculating the area of the fire area; extracting a fire area boundary, establishing a local coordinate system, and calculating coordinates of the fire area boundary and the fire-fighting unmanned aerial vehicle; and carrying out distributed collaborative decision and task allocation. The method has the beneficial effects that the single-point fault problem in a centralized mode is avoided, the system reliability and robustness are high, the information interaction and cooperation are efficient, the decision process is simplified, the task repeated allocation is avoided, and the allocation strategy can be adjusted according to the dynamic change of the fire area.

The invention discloses an ultra-low illumination-oriented SPAD active imaging data compression method, which comprises the following steps of: performing wavelet decomposition on histogram data of a single pixel in a time-frequency domain based on wavelet transform to obtain low-frequency data of each pixel after wavelet decomposition; by taking each pixel as a center, performing non-maximum suppression and data enhancement on the low-frequency data after the wavelet decomposition of the current pixel by using adjacent pixels to obtain processed compressed data; customizing different Gaussian kernel parameters for each pixel according to the possibility that each pixel is located at the boundary, and performing Gaussian filtering on the processed compressed data of each pixel to obtain filtered data; and performing depth estimation on the filtered data to obtain a final depth image. According to the method, the depth reconstruction performance of the laser pulse can be improved by utilizing the multi-resolution characteristic of wavelet transform, the space-time correlation of signal photons and the smoothness of Gaussian filtering.

The invention provides a heart MRI quantitative imaging motion correction and parameter graph reconstruction and segmentation method and system. The method comprises the following steps: constructing a multi-task model; and constructing a motion-free simulation signal data set of the selected quantity imaging task, and pre-training the single-pixel parameter estimation network and the single-pixel signal simulation network based on the data set. And constructing a real image data set of the selected amount of imaging tasks, fixing network parameters obtained by pre-training, and training a multi-task model to determine values of residual parameters in the model. And performing motion correction, quantitative parameter graph reconstruction and region-of-interest segmentation on a newly acquired image sequence of the selected amount of imaging task through the trained multi-task model, and outputting a reconstructed quantitative parameter graph and a segmentation mask of the quantitative parameter graph. The method is more accurate and quicker, and can realize full-automatic and one-stop post-processing of heart quantitative imaging.

The invention discloses a feature hierarchical attention fusion and dynamic optimization method for single-stage target detection, and relates to the technical field of computer vision. The method comprises the steps of collecting image data, preprocessing an image and dividing the image into a training set, a test set and a verification set; the HAF-DRFPN neck network uses dynamic up-sampling single pixel point sampling to recover the feature resolution; feature extraction is optimized by using a gating residual mechanism and depth separable convolution; a feature refining feed-forward network is introduced through multi-layer perception generation weight, and feature expression is enhanced; respectively capturing and fusing superficial details and deep semantic information by utilizing channel and space attention and cross attention; a multi-branch dynamic sampling stacking framework is adopted, and cross-scale features are adaptively fused and optimized; multi-module cooperative processing is carried out on the whole architecture, and multi-scale features with higher discrimination are provided for the detection head; according to the method, the YOLO12 trunk and the detection head are connected with the HAF-DRFPN to form the model HAF-DRNet suitable for target detection, so that the flexibility and accuracy of single-stage target detection are improved.

The invention relates to a pavement crack image skeleton extraction method based on an improved Zhang-Suen refinement algorithm. The method comprises the following steps: S1, carrying out binarization processing on a pavement crack image; s2, carrying out boundary expansion on the crack binary image; s3, carrying out run-length coding on the crack binary image in the horizontal direction, and carrying out compression storage on continuous non-zero pixel segments in each row; s4, using an improved Zhang-Suen refinement algorithm to process the crack binary image processed in the step S3; s5, removing boundary extension; s6, performing simplification processing on the preliminarily refined crack skeleton image by using four predefined 3 * 3 L-shaped structure templates; s7, removing burrs in the image; and S8, outputting a crack skeleton image. The technical problems that according to an existing skeleton extraction method, a topological structure is prone to being damaged, the calculation efficiency is low, the extraction result cannot be completely a skeleton with the single pixel width, and burrs exist in the skeleton extraction result are solved.

The invention belongs to the related technical field of ink-jet printing decompression film forming, and particularly relates to a large-size panel film forming consistency optimization method for ink-jet printing, which comprises the following steps of: in a liquid drop evaporation film forming process, adopting three groups of observation components, film forming images of the center, the edge and the corner area of the printing substrate located in the cavity are observed above the large-size reduced pressure evaporation cavity; processing the film forming image of each region, and extracting the current droplet volume of a single pixel pit of each region; determining a difference value between a preset current reference volume and a current droplet volume of a single pixel pit in each region, and determining a target temperature of the corresponding region in combination with a relational expression based on the temperature and the evaporation speed; based on the difference between the target temperature and the actual temperature, the temperature of the area is controlled through a temperature controller of the corresponding area; and the steps are circulated until the liquid drops on the printing substrate are completely formed into the film or the process time is over. According to the invention, the consistency of reduced pressure evaporation film formation can be realized on line.

The invention provides a single-pixel-based visible light infrared fusion compression spectrum imaging system and method, and the method comprises the following steps: 1, carrying out the signal coding of a to-be-detected target signal, and obtaining a coded to-be-detected target infrared signal and a coded to-be-detected target visible light signal; step 2, inputting a to-be-measured target infrared signal into an infrared imaging light path, collecting a medium-wave infrared spectrum intensity value, and inputting a to-be-measured target visible light signal into a visible light imaging light path to collect a visible light spectrum intensity value; step 3, carrying out compressed sampling and reconstruction operation on the visible light spectrum intensity value and the medium wave infrared spectrum intensity value to obtain an infrared hyperspectral image and a visible light hyperspectral image of the target to be detected; 4, performing image fusion according to the infrared hyperspectral image and the visible light hyperspectral image to obtain a fused image with rich details; the fusion imaging of the method has the characteristic of keeping the feature information of the target scene so as to realize high-quality imaging.

A single pixel multi-color LED device includes two or more LED structures for emitting a range of colors. The two or more LED structures are horizontally formed as sub-pixels to combine light. In some embodiments, two or more light emitting layers are formed on a substrate with integrated circuits and the two or more light emitting layers are bonded together with bonding layers. In some embodiments, the two or more LED structures are formed by utilizing a respective top light emitting layer of the respective LED structure and by removing extra top light emitting layer(s) with the respective LED structure. In some embodiments, the up and down orientation of the P-type region and the N-type region within the first light emitting layer is different from the up and down orientation of the P-type region and the N-type region within the second light emitting layer.

The invention relates to the technical field of unmanned aerial vehicle load system image registration, in particular to a visible light and infrared image registration fusion method for an unmanned aerial vehicle photoelectric turret. Comprising the following steps: measuring and calibrating a relationship between a visible light camera focal length and a visible light Y-direction field angle on the ground, recording the relationship between the field angle and the focal length as a file, and storing the file on a camera control panel; the camera control panel controls the movement of the visible light camera through a PID algorithm until the field angle of a single pixel of the visible light image is matched with the field angle of a single pixel of the infrared image; extracting different-source image descriptors, matching the different-source image descriptors, storing the projection relation of each pixel coordinate as a matrix A, and calling to complete registration; and calculating the local contrast and information entropy of the visible light image and the infrared image, dynamically adjusting the fusion proportion, and generating a registration fusion image. The method has the advantages that simple calibration on the ground is only needed; and after zooming, a registration algorithm is operated on an airborne computer, and the efficiency and accuracy of feature matching are improved in combination with a multi-scale descriptor.

The invention belongs to the technical field of synthetic aperture radars, and relates to an InSAR sequence time decoherence suppression method based on a complex covariance matrix, and the specific process is as follows: for a plurality of input SLC SAR image complex vectors, extracting a single-pixel p-dimensional complex scattering vector at a pixel x, and generating an initial complex covariance matrix; the method comprises the following steps: generating a rectangular search window Wx by taking a pixel x as a center, aiming at multiple input SLC SAR image complex vectors, extracting a p-dimensional complex scattering vector of a single pixel at a pixel y in the search window, and generating a reference complex covariance matrix; enabling the pixel y to traverse each pixel except the pixel x in the rectangular search window Wx, and calculating a maximum likelihood test statistic Q (x, y) according to the initial complex covariance matrix and the reference complex covariance matrix; and based on a complex covariance matrix # imgabs0 # estimated by Q (x, y), extracting the intensity, the phase and the correlation coefficient of the InSAR sequence after de-coherence suppression at the pixel x from the complex covariance matrix # imgabs0 #, and finally obtaining a time sequence de-coherence suppression result of the complete SAR interferogram sequence.

The invention discloses a single-pixel multi-encryption imaging method and device and a storage medium. The method comprises the steps of generating a single-pixel orthogonal basis transform coding illumination pattern, and exchanging the sequence of a coding illumination pattern sequence by using a time sequence key and a remapping algorithm; the coded illumination pattern is processed by using a space key, and at the moment, an image sequence is encrypted in two aspects of a space domain and a frequency domain; projecting a preset coding illumination pattern to the surface of an object to be encrypted and imaged; measuring and recording the light intensity of the reflected or transmitted light by using a detector; decrypting the signal by using the combination of the space key and the time sequence key to obtain a plaintext signal; and reconstructing the image by using a corresponding single-pixel imaging method. According to the method, the single-pixel imaging technology is utilized, the image encryption signal can be obtained under the condition of low sampling rate, calculation only needs to be carried out when the encryption coding illumination pattern is generated, and the defect that a traditional image encryption method based on a camera is large in calculation amount is overcome.

The invention discloses an electric power meter intelligent reading system based on image recognition, and relates to the technical field of computer vision. The method is used for solving the problems of poor instrument reading stability and low range identification accuracy in a complex environment. The method comprises the following steps: firstly, performing multi-scale retina processing and four-direction gradient integral response analysis through an anti-shielding dial plate detection module, generating a probability heat map based on symmetry distribution, and outputting an accurate dial plate region segmentation mask through channel fusion; secondly, extracting a single-pixel wide pointer skeleton through non-maximum suppression and morphological refinement by using a meta-learning skeleton extraction module, and obtaining scale line distribution characteristics based on radial gradient analysis; thirdly, performing three-level progressive verification through a context range analysis module in combination with a geometrical relationship, a knowledge graph and a logical relationship, and outputting a range parameter; multi-dimensional information fusion is adopted to evaluate segmentation quality and skeleton integrity and verify consistency, reliable reading is generated, credibility evaluation is carried out, and high-precision stable reading in a complex environment is realized.

The invention provides an infrared image sensor and a pixel-level reading circuit thereof, and relates to the field of infrared image sensors. The pixel-level reading circuit is integrated in a single pixel unit, and comprises a direct injection input-level circuit used for converting an infrared light-generated current generated by an infrared image sensor into an analog voltage signal; the pulse frequency modulation analog-to-digital converter is connected with the direct injection input stage circuit and is used for converting the analog voltage signal into a pulse signal; the SR latch is electrically connected with the pulse frequency modulation analog-to-digital converter and is used for carrying out accumulative counting on the pulse signals so as to form digital code words reflecting the infrared light intensity; and the digital logic control unit is electrically connected with the SR latch and is used for transmitting the digital code word to a reading bus of the infrared image sensor, so that the output of a digital signal is realized, and the reading rate of the image sensor is improved.

The invention discloses a remote sensing image road breakpoint repairing method and device and a medium. The method comprises the steps that a road image is converted into a binary image, a connected region is calculated, a threshold value is set to remove part of the connected region, skeletonization operation is conducted on the optimized binary image, and a road is converted into a road skeleton with the single-pixel width. Extracting breakpoints of all roads, and obtaining breakpoint parameter values; on the basis of the matching value between each group of breakpoint pairs, connecting the breakpoint pairs of which the matching values exceed a threshold value, and obtaining a perfect road skeleton; road width repairing is conducted on the perfected road skeleton, and a repaired road is obtained. According to the method, the repaired road is regularized, so that the width of the repaired road is ensured to conform to a physical rule, the condition of road boundary distortion or excessive connection caused by mismatching is avoided, and the repaired road boundary is more accurate and natural by optimizing the smoothness and regularity of the repaired path; and the risk of misjudgment is reduced.

The embodiment of the invention provides a photoelectric detection device and an optical detection device. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly. The light beam separation assembly is used for dividing a continuous first light signal into a plurality of beams of second light signals at different spatial positions. The sensor assembly is used for receiving multiple beams of second optical signals. The sensor assembly includes a plurality of sensors, the plurality of sensors including single-pixel sensors. The continuous first optical signal is divided into a plurality of small discrete second optical signals through the light beam separation assembly, so that the light sensing area of each sensor corresponding to a sample is further reduced, the haze noise on a single sensor is further reduced through the small light sensing area, and the haze noise on the single sensor is further reduced under the condition that the original first optical signal is not changed. Noise on a single sensor is reduced, and the signal-to-noise ratio of the photoelectric detection device is improved.

The invention provides a visual positioning method and system for an automatic drilling robot of a tire mold, and the method comprises the steps: calibrating the internal and external parameters of a camera, and obtaining the target surface identification of the tire mold and the workpiece coordinates of key points; based on the image feature template, identifying a pixel coordinate of the target surface identifier and an actual physical size corresponding to a single pixel; according to the internal reference of the camera and the workpiece coordinates and pixel coordinates of the target surface identifier, the initial conversion relation of the workpiece relative to the robot coordinate system is solved; pixel coordinates of the key points are obtained based on the initial conversion relation; calculating actual coordinates of a key point robot coordinate system according to the pixel coordinates of the key point, the photographing pose and the internal reference of the camera; and matching the three-dimensional coordinates of the key points with coordinates of a robot coordinate system through a singular value decomposition algorithm, and solving an accurate conversion relation of the workpiece relative to the robot coordinate system. A target surface and key points are recognized through template matching and machine vision, and the accurate conversion relation between a workpiece and a robot coordinate system is calculated, so that efficient positioning of the tire mold exhaust hole is achieved.

The invention relates to the technical field of intelligent path planning of a mowing robot based on visual identification, and discloses an intelligent path planning method of a mowing robot based on visual identification. A two-dimensional image of a mowing area is obtained through a fixed camera device, a pixel brightness matrix is generated, accurate collection of environment information is achieved, the corresponding relation between image vertexes and actual plane coordinates is established, mapping between the image and a physical space is completed through the single-pixel physical length, and the problem of coordinate deviation between the image and an actual area is solved. The image is divided into non-overlapped complete blocks, so that boundary blur is avoided. And each block generates a unique visual code by counting a pixel brightness mean value and a difference square root and combining a fixed separation coefficient 128, so that the visual identification stability is enhanced. The block center is converted into the actual physical coordinate through the center coordinate mapping function, space positioning is achieved, and the accuracy and stability of intelligent planning of the mowing path are improved.

The invention provides a fixed star observation and evaluation method suitable for a satellite-borne laser communication system, and the method comprises the following steps: S1, substituting the magnitude and the star temperature of a target fixed star into a fixed star irradiance model, and calculating the irradiance of the target fixed star; s2, dividing a working wave band when the satellite-borne laser communication system observes the fixed star into a plurality of sub-wave bands, and calculating the number of target photoelectrons acquired by a single pixel of a detector in each sub-wave band within single-frame integral time; s3, substituting the target photoelectron number obtained by the single pixel of the detector in each sub-band in the single frame integration time into the satellite-borne laser communication system fixed star observation signal-to-noise ratio calculation model, and calculating the satellite-borne laser communication system fixed star observation signal-to-noise ratio; and S4, comparing the star observation signal-to-noise ratio of the spaceborne laser communication system with a preset threshold, if the star observation signal-to-noise ratio of the spaceborne laser communication system is greater than the preset threshold, considering that the target star can be observed by the spaceborne laser communication system, otherwise, considering that the target star cannot be observed by the spaceborne laser communication system.

The invention relates to the technical field of optical imaging, and discloses a single-pixel color imaging system based on multi-wavelength radio frequency marking. The system comprises a light source module used for generating three laser beams with three optical primary colors; the radio frequency driving module is used for generating a radio frequency complex frequency signal; the light path adjusting module is used for performing heterodyne interference processing on the three laser beams according to the radio frequency complex frequency signal, respectively forming a light spot array and a reference light source and then combining the beams, and generating a combined beam to be incident on a measured target; each laser beam corresponds to one group of sub light spot arrays; sub light spot arrays with aligned spatial positions exist among the three groups of sub light spot arrays; the detected target detection module is used for collecting light data generated after a detected target reflects the combined light beam; and the image inversion module is used for performing image inversion processing on the optical data to generate a true color image of the measured target. According to the system, the light spot array of multi-wavelength laser incidence can be registered in the spatial position.

The invention relates to the technical field of rail transit detection, and discloses a bogie bolt looseness detection method based on a series steel wire, which comprises the following steps: identifying an area where 8-shaped series anti-looseness steel wire series bolts are located by using an improved YOLOv8 bolt area detection model, and inputting a trained U-net network for identification, judging whether the output result is an image containing two sides of the 8-shaped anti-loosening steel wire or not; carrying out binarization on the image containing the two sides of the 8-shaped anti-loosening steel wire, and then carrying out skeleton extraction to obtain a first single pixel line and a second single pixel line; calculating an included angle between the first single pixel line and the second single pixel line, and judging whether the included angle is smaller than a set threshold value or not; extracting interval pixel points of the first single pixel line, performing rectangular coordinate conversion, and performing fitting to obtain an interval pixel point fitting curve; a first curve section and a second curve section are selected, the curvature of each interval pixel point in the curve sections is calculated, and whether bolt looseness exists or not is judged through the maximum curvature value; the method improves the bolt detection precision and efficiency.

The invention discloses a self-adaptive underwater single-pixel imaging technology based on Fourier modulation, belongs to the technical field of computational optical imaging, is used for ocean detection and improvement of ocean surveillance and defense efficiency, and adopts a self-designed LED array to replace an expensive DMD and a four-quadrant detector composed of common photodiodes to replace an expensive barrel detector. And high-speed illumination and parallel acceptance are realized while the cost is greatly reduced. The technical route comprises a high-speed underwater single-pixel imaging device, a high-speed Fourier single-pixel imaging algorithm and an adaptive sampling strategy based on Fourier single-pixel imaging. The high-speed single-pixel imaging device comprises a self-designed LED array light modulation module, a converging lens module and a receiving module. The high-speed Fourier single-pixel imaging algorithm comprises a binarization algorithm based on error diffusion and an algorithm based on adaptive compressed sensing. According to the innovative self-adaptive sampling strategy based on Fourier single-pixel imaging, a specific sampling path is generated by fusing circular sampling and random sampling according to the characteristics of an image in a Fourier spectrum, so that Fourier coefficients which have great influence on image quality are acquired as much as possible under water with low sampling rate and high turbidity, and the image quality is improved. Therefore, the high-efficiency imaging of the underwater target object is realized, and the imaging speed and quality are both considered.

The invention relates to the technical field of object imaging, and discloses a single-pixel imaging method, system, medium and equipment for object motion trail repetition. The method comprises the following steps: generating a modulation pattern sequence with different spatial distributions according to a preset imaging image reconstruction algorithm, and inputting the modulation pattern sequence into a light modulation device; the track detection device sends a track pulse signal, the light modulation device is synchronously triggered to carry out light modulation, the light modulation device simultaneously sends a modulation pulse signal, and the multichannel signal synchronous acquisition device is synchronously triggered to receive a plurality of sampling values; selecting a target sampling value from the sampling values as an imaging image reconstruction sampling value; performing image reconstruction by using the imaging image reconstruction sampling value sequence to generate a single imaging image of the to-be-imaged object; and repeating the steps until the number of the generated imaging images reaches a preset number. The imaging system provided by the invention has the capability of carrying out continuous long-time imaging on a high-speed motion trail repeated object with variable motion speed.