102 results about "Rapid imaging" patented technology

The invention discloses a marine geological profile rapid imaging and stratigraphic structure inversion system and a marine geological profile rapid imaging and stratigraphic structure inversion method. Comprising a multi-source marine geological data synchronous acquisition module, an acquisition signal noise reduction and space-time registration module, a stratum interface initial positioning and feature enhancement module, a multi-scale geological section rapid imaging module, a stratum physical parameter inversion initialization module, a constraint stratum structure inversion optimization module and an inversion result verification and visual output module. According to the invention, through GPS and Beidou synchronization and Kalman registration, the problem of spatial-temporal dislocation of multi-source data is solved, and deep fusion of sound wave, gravity and magnetic survey data is realized; based on self-adaptive wavelet threshold noise reduction, effective signals are reserved, and meanwhile, marine environment noise interference is greatly reduced; the multi-scale fusion algorithm gives consideration to shallow details and deep structures, and meets the requirements of different exploration targets.

The invention relates to geological three-dimensional reconstruction, in particular to a self-adaptive parameter optimization and rapid imaging method in complex geological body three-dimensional modeling, which comprises the following steps of: integrating multi-source geological data to generate an initial three-dimensional geological model; determining an objective function and constraint conditions of adaptive parameter optimization of the three-dimensional modeling of the complex geologic body, and constructing an adaptive parameter optimization model; solving the adaptive parameter optimization model by adopting an improved crocodile ambush optimization algorithm to obtain an optimal parameter combination; substituting the optimal parameter combination into the initial three-dimensional geologic model, and generating a final three-dimensional geologic model through curved surface reconstruction; according to the technical scheme provided by the invention, the optimal parameter combination is substituted into the initial three-dimensional geologic model, and the final three-dimensional geologic model is generated through curved surface reconstruction.

The invention relates to the technical field of magnetic field measurement error compensation, in particular to a single-axis Hall surface magnetic rapid imaging analysis system, which is characterized in that a magnetic field gradient real-time analysis unit calculates a magnetic field gradient change rate through a sliding window weighted difference algorithm, identifies a magnetic pole transition region and analyzes the magnetic field gradient change rate. The multi-source error coupling modeling unit synchronizes Hall probe spacing fluctuation, inclination angle and magnetic field gradient data and constructs a composite compensation function, the adaptive compensation unit corrects and counteracts spacing attenuation and projection errors through two-stage assembly lines, and the nonlinear trigger control unit generates an adaptive encryption trigger signal, so that the sampling spacing decreases progressively along with the gradient change rate, and the error compensation is realized. And the magnetic field distribution reconstruction unit fuses the compensation data and the sampling sequence, reconstructs a continuous magnetic field distribution curve by adopting gradient constraint cubic spline interpolation, accurately outputs a magnetic pole boundary position and a surface magnetic field intensity quantification result, and improves the surface magnetic imaging precision and efficiency.

The invention provides a magnetic resonance free respiration data extraction method based on a respiratory wave extraction algorithm, and relates to the technical field of respiration acquisition, and the method comprises the following steps: obtaining a rapid imaging sequence, and extracting a complex number sampling value of a center k space line of the rapid imaging sequence in a z direction as an initial input signal; performing z-direction IFFT interpolation processing on the initial input signal to output a high-resolution z-t signal matrix; performing time dimension signal smoothing processing on the high-resolution z-t signal matrix; performing normalization processing on the z-axis signal at each time point based on a smoothing processing result; the z-axis signals of all the channels are spliced along the longitudinal axis according to the normalization processing result to form a unified matrix; the unified matrix is subjected to standard PCA decomposition, and principal components of the unified matrix are extracted to obtain respiratory wave data; according to the method, the breathing signal waveform can be stably extracted from the MRI original k space in the free breathing state without depending on the breath holding condition, and the structure consistency and time synchronism of breathing waves are improved.

The invention discloses an offshore field two-dimensional seismic data rapid imaging method, and relates to the technical field of seismic exploration data processing, and the method comprises the steps: obtaining SEGD format original seismic data of a target region from a seismic collection system, combining the data of each shot of each measuring line, decoding the data into internal available data, and obtaining a to-be-processed data body; and loading an observation system and assigning seismic trace header parameters according to actual acquisition parameters based on the decompiled to-be-processed data volume. According to the invention, through a multi-stage denoising and signal protection strategy, effective suppression of various sea interferences is realized, a frequency division multi-channel statistical abnormal amplitude suppression technology is adopted, zero-phase high-pass filtering is combined, low-frequency effective signals are protected while low-frequency strong-energy background noise is removed, and the noise suppression effect is improved. The direct wave cutting step further eliminates strong energy interference under a long cable condition, highlights an effective reflection signal of middle and far offset data, forms a progressive signal-to-noise ratio improvement mechanism from original data to final imaging, and improves the interpretability of seismic data.

Disclosed in the present invention are a conical optical illumination-based reflective scanning super-resolution optical microscopy system and method. The system comprises a sample displacement module, an optical microscopic imaging module, an annular focused beam generation module, a beam scanning module, a super-resolution focused illumination and collection module, a super-resolution optical imaging module and a computer. By means of using the advantages of annular focused beam illumination, high focusing efficiency of traditional lenses, and high beam scanning speed, high-efficiency super-resolution focused illumination with an extended depth of focus is achieved, and further traditional optical lenses can be used to achieve fast super-resolution optical microscopic imaging; fast label-free far-field super-resolution two-dimensional microscopic imaging is implemented by means of two-dimensional beam scanning; by means of performing label-free far-field super-resolution two-dimensional microscopic imaging on samples at different axial positions, super-resolution two-dimensional microscopic images of different cross sections of samples are obtained, thereby achieving three-dimensional tomography. The present invention can be applied to fast label-free super-resolution microscopic imaging of biological samples, and can also be applied to other fields such as industrial super-resolution microscopic inspection.

This invention discloses an online super-resolution imaging method for scanning radar based on the minimization criterion. By establishing an azimuth echo convolution model and discretizing it, the super-resolution problem is transformed. Under a regularization framework, the minimization criterion is used to construct an analytically optimizeable cost function containing sparse prior information, transforming the forward-looking imaging resolution improvement problem into an optimization estimation problem. By dividing the antenna measurement matrix into rows and blocks, matrix operations are degraded into the continuous accumulation of vector operations, enabling real-time online updates of targets in the forward-looking region. Finally, the conjugate gradient method is used to degrade and invert the matrix, outputting the super-resolution result. This method can achieve rapid imaging with limited system memory through an online conjugate gradient super-resolution algorithm based on the minimization criterion. Compared with existing batch processing regularization methods, it eliminates false targets, significantly reduces computational complexity, and is beneficial for rapid imaging of scanning radar.

This invention belongs to the field of seismic exploration technology and relates to a multi-model rapid tomographic imaging method with hard constraints based on physical information. The method includes constructing a PIUFNO network model under hard constraints; using travel time perturbations from different seismic sources and background travel time as network inputs, the network directly outputs the corresponding subsurface velocity structure, establishing an end-to-end nonlinear mapping relationship between input and output; incorporating the physical criteria of seismic wave transmission as a hard constraint condition into the loss function to construct a physical constraint loss function and complete model training; after the network training converges and parameters are optimized, new measured travel time perturbation data and corresponding background travel time data are input into the model to deduce the subsurface medium velocity distribution structure, achieving rapid imaging of the subsurface velocity structure. This invention effectively solves the limitation of traditional tomographic imaging, which can only train a single model; through a single training, it can achieve efficient and accurate imaging of multiple models, applicable to different velocity models.

The fast magnetic resonance imaging method provided by the invention comprises the following steps: periodically scanning a target area containing a focus through a magnetic resonance fast imaging sequence to obtain an initial magnetic resonance image sequence of a target period, the target period being any period of periodically scanning the target area; the initial magnetic resonance image sequence of the target period is corrected according to a reference period, a corrected magnetic resonance image sequence of the target period is obtained, and the reference period is a period in which a reference area containing a focus is scanned by magnetic resonance in advance to obtain a space standard image; according to the rapid magnetic resonance imaging method provided by the invention, the target area containing the focus is scanned through the magnetic resonance rapid imaging sequence, the scanned magnetic resonance image is corrected, distortion generated in the rapid scanning process is eliminated, and the efficiency and precision of magnetic resonance imaging are improved.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

The application discloses a kind of automatic imaging detection device and method of clutch type disc piece ultrasonic phased array, belong to nondestructive testing technical field, including ultrasonic detector, motion control device, computer and support frame, two sliding grooves are opened in support frame, probe is arranged on support frame, two sets of clamping mechanisms are arranged on support frame, two sets of clamping mechanisms are connected with probe, the disc piece of being examined is arranged on support frame, semicircular recess is opened in support frame, vertical design is adopted in the application, effectively applicable to double-probe one sends one receives detection scheme, while fully considering the characteristics of ultrasonic phased array detection technology, meet the high-sensitivity ultrasonic detection demand of welded integral blisk weld area, the method has achieved good effect in actual detection work, and ultrasonic phased array rapid imaging detection of integral blisk weld area can be realized.

The invention belongs to the field of synthetic aperture radio array imaging detection, and relates to a deep learning-based synthetic aperture radio array rapid imaging method, which comprises the following steps of: processing observation data based on optimization parameter combination and matrix mapping to generate a brightness temperature image training set with frequency domain relevance and high image quality; an imaging neural network model composed of a pre-imaging network and an image recovery network is constructed, and high-dimensional nonlinear mapping among the visibility function, the projection baseline and the brightness temperature image is realized; through preprocessing, data preprocessing and real-time imaging operation, rapid and high-quality imaging of observation data is realized. According to the method, a sun brightness temperature image data set consistent with an actual observation scene is constructed based on the observation data of a circular array solar radio imaging telescope of meridian engineering; an imaging neural network model adapted to different sun brightness temperature characteristics and projection baselines is designed; the imaging speed of the synthetic aperture radio telescope can be obviously improved while high-quality imaging is realized.

The invention discloses a terahertz transmission liquid crystal metasurface rapid imaging method and system, and relates to the technical field of terahertz metasurface imagines.The method is provided with a self-adaptive stop criterion, obtained measurement data can be dynamically evaluated in the collection process (or after collection is completed), and the measurement accuracy is improved. According to the data consistency and / or the reconstruction stability, judging whether the collection needs to be continued or not; and when the stop condition is met, the subsequent coding measurement can be stopped in advance, so that the redundant overhead caused by continuous acquisition after the imaging quality enters the plateau period is avoided, and the total acquisition time is shortened. On the premise of ensuring that the reconstruction quality of the terahertz frequency band image meets the requirement, the equivalent imaging speed is remarkably improved, and the rapid imaging requirement in a dynamic scene can be met.

The invention belongs to the technical field of ultrasonic equipment, and particularly relates to an ultra-fast ultrasonic imaging method, system and equipment. In order to effectively solve the problem that ultra-fast imaging is difficult to realize in a miniaturized ultrasonic system, the complexity of the whole system is reduced by designing a sub-aperture control system for transmitting and receiving, so that the plane wave imaging design of space splicing is realized, and the ultra-fast ultrasonic imaging method is completed. The technical scheme of the invention has the advantages of low system complexity, low resource consumption during operation, high data transmission stability and rate and the like, is beneficial to the application of miniaturized ultra-fast ultrasonic imaging equipment, and has a good application prospect.

The invention relates to the technical field of medical image and artificial intelligence technology crossing, in particular to an intelligent auxiliary diagnosis method and system for a frozen section in a thyroid cancer operation. According to the technical scheme, the method comprises the following steps that a thyroid tissue intraoperative frozen section to be diagnosed is prepared, and the frozen section does not need to be dyed or subjected to section sealing treatment; and scanning the frozen section by using a terahertz near-field imaging system to obtain terahertz near-field image data of the frozen section. According to the method, the terahertz near-field imaging technology is adopted, the situation that cell nucleus morphology is difficult to observe due to ice crystal artifacts in a traditional frozen section is avoided, cancer cells are automatically recognized in combination with an AI model trained based on large-scale labeling data, and the objectivity and consistency of diagnosis are remarkably improved; meanwhile, the steps of dyeing and mounting are omitted, and rapid imaging and analysis are realized, so that the intraoperative diagnosis time is greatly shortened, and a generated visual contour report also provides visual decision support for pathologists.

The invention discloses an intramolecular entropy driving amplifier based on DNA octahedron assembly as well as a preparation method and application thereof. The preparation method comprises the following steps: annealing three DNA single chains P1, P2 and P3 to form a component C1, annealing three DNA single chains P4, P5 and P6 to form a component C2, and annealing four DNA single chains P7, P8, P9 and P10 to form a component C3; and mixing the component C1, the component C2 and the component C3 in a reaction buffer solution, and assembling into a DNA octahedron, so as to obtain the DNA octahedron-based intramolecular entropy driving amplifier. The intramolecular entropy driving amplifier can be used for realizing rapid imaging of various lncRNAs. The DNA octahedral structure not only provides abundant sites for the detection of a plurality of lncRNAs, but also integrates all functional modules into a single molecular scaffold. The integration effectively accelerates the reaction kinetics due to the space limiting effect of the DNA octahedron.

The application relates to a kind of massive SAR data imaging software design methods based on fast BP algorithm, for the existing fast BP imaging algorithm, by accurately estimating the data amount in the operation process, propose to use the available memory of operation server, dynamically correct J operator, carry out sub-scene processing to sub-set, use disk temporary storage intermediate operation result, solve the memory limit problem of SAR full scene full resolution imaging of super large data on the operation server with lower memory, greatly reduce the hardware memory cost of operation server.

The invention relates to the technical field of optical lenses, in particular to an athermalized ultra-wide-angle lens, which comprises a lens barrel, and a first lens group, a diaphragm and a second lens group which are coaxially arranged in the lens barrel in sequence, from the object side to the image side, the first lens group comprises a first lens, a second lens, a third lens and a fourth lens which are arranged in sequence, and the second lens group comprises a fifth lens, a sixth lens and a seventh lens which are arranged in sequence. Wherein the first lens is a fisheye-type meniscus negative lens, and the concave surface of the first lens faces the image space; the second lens and the third lens are meniscus negative lenses, and the concave surfaces of the second lens and the third lens face the image space. The fourth lens is a positive lens; the fifth lens, the sixth lens and the seventh lens are all positive lenses. The field angle of the lens provided by the invention reaches 185 degrees, and all objects right ahead can be shot comprehensively without dead angles; the aperture value can reach 1.4, and rapid imaging can be realized; and the lens can adapt to an environment with a temperature range of-40 DEG C to 80 DEG C, and covers most of outdoor temperature environments, so that the adaptability of the lens to the environment is effectively improved.

The application discloses a gradient coil design method and device, electronic equipment and a storage medium, applied to the technical field of superconducting magnetic resonance imaging systems, in order to solve the problems of large coil inductance and decreased magnetic field climbing rate, the gradient coil is an axisymmetric gradient coil, the method can obtain a triangular grid corresponding to the skeleton surface by discretizing the skeleton surface to be wired, then further performs flow function calculation according to the triangular grid, determines the corresponding initial flow function distribution, minimizes the flow function extreme value as a first objective function, and combines the first preset boundary condition to perform first nonlinear programming on the initial flow function distribution to obtain a new flow function distribution; and the parameter information of the gradient coil is determined according to the new flow function distribution. In the application, the flow function extreme value is taken as the first objective function, the flow function distribution is optimized, the inductance is minimized, the linearity of the gradient magnetic field is improved, and the demand of the fast imaging scene is better met.

The invention provides a composite light source device for high-speed detection of poultry eggs, and belongs to the field of agricultural product detection, the device comprises an LED sub-module, the LED sub-module comprises a plurality of LED chips with different wave bands, the LED chips with the same radiation radius are uniformly distributed along the circumference according to different wave bands, the LED chips with the same wave band of each LED sub-module correspond to one sub-area, and the LED chips with the same radiation radius correspond to the other sub-area; the brightness of each sub-region is independently controlled by a controller; the collimating lenses above each LED sub-module form an array which is used for receiving LED chip incident light from the public focus area and collimating the incident light into parallel light beams; the integrating plate is positioned on the light emitting side of the collimating lens array and is used for receiving, mixing and uniformly diffusing the collimated parallel light beams; the angle switching mechanism comprises a rotary support used for supporting the LED submodules, the collimating lens array and the integral plate; the controller is further used for adjusting the angle of the rotating support. The device can improve the color mixing efficiency before dodging, reduce the output chromaticity deviation, and meet the rapid imaging requirement of a high-speed production line.

This invention relates to the field of quantum imaging technology and proposes a digital phase-locked microwave magnetic field imaging system and method based on diamond NV centers. This invention images microwave fields based on the principle of power-broadened magnetic resonance. The system consists of multiple subsystems: an excitation optical path, an imaging optical path, an acquisition system, and a bias magnetic field. The excitation light is used to excite the diamond NV centers; the imaging optical path captures the fluorescence changes during microwave exposure; the acquisition system controls the testing system and analyzes data through a programmed host computer; and the bias magnetic field splits the resonance peaks to increase the bandwidth of the measured microwave field. Furthermore, imaging at different resolutions can be achieved by changing the objective lens. This invention enables non-destructive, non-invasive measurement of microstrip lines at room temperature using the NV center ensemble, thereby analyzing their operating status. In practical applications, this method offers advantages such as high sensitivity and rapid imaging.

The utility model provides a special-shaped diaphragm structure and a microscopic lighting device. The special-shaped diaphragm structure comprises a first circular ring and a second circular ring, a second circular ring is arranged on the outer ring side of the first circular ring, and the second circular ring and the first circular ring are concentrically arranged; an annular diaphragm is formed in a light-transmitting area between the second circular ring and the first circular ring, a hole-shaped diaphragm is formed in a light-transmitting area on the inner ring side of the first circular ring, and the hole-shaped diaphragm is located on the inner ring side of the annular diaphragm and is concentric with the annular diaphragm. According to the method, the definition of the boundary contour of the low-contrast transparent sample can be greatly enhanced, compared with phase contrast illumination, the illumination intensity loss is small, the energy utilization rate is high, and the rapid imaging requirements of high-speed scanning, automatic focusing and the like of a full-automatic microscope can be basically met.

The present disclosure provides technologies that allow reduced field of view or fast imaging with reduced image distortion. The first technique capitalizes on the benefit of reduced field of view imaging for full field of view coverage. The second technique allows achieves high resolution 3D images in a focused region. These techniques are expected to have applications for cancer imaging, neuro imaging, and other biomedical imaging areas.

The invention provides an online adaptive radar rapid imaging method, and relates to the technical field of radar imaging, and the method comprises the steps: building an azimuth echo convolution model, and carrying out the restoration processing of an antenna measurement matrix, so as to reduce the imaging edge information error; recursive updating of local beams is realized based on independence of echo data in adjacent beam widths and structural characteristics of a repaired antenna measurement matrix; global beam recursion updating is realized through overlapping shift processing; and based on the optimal generalized ridge estimation theory, adaptively selecting regularization parameters, and completing target scene reconstruction. Compared with a traditional angle super-resolution method, the method has the advantages that the corresponding relation between the echo sample and the target grid is utilized, the inherent advantages of an online frame can be kept, and meanwhile the problem that the calculation redundancy of a traditional online method is too large is effectively solved.

The present application belongs to the technical field of seismic exploration, and relates to a physical information hard constraint multi-model fast tomography method, which comprises the following steps: constructing a PIUFNO network model under hard constraint; taking the travel time disturbance and background travel time of data collected by different seismic sources as network input, and directly outputting the corresponding underground velocity structure by the network, so as to establish an end-to-end nonlinear mapping relationship between the input and the output; taking the physical principle of seismic wave transmission as a hard constraint condition and integrating it into a loss function, so as to construct a physical constraint loss function and complete model training; after the network training converges and the parameter optimization is completed, inputting new measured travel time disturbance data and corresponding background travel time data into the model, deducing the underground medium velocity distribution structure, and realizing fast imaging of the underground velocity structure. The present application effectively solves the limitation that the traditional tomography can only train a single model; through one-time training, efficient and accurate imaging of multiple models can be realized, and the present application is suitable for different velocity models.

The invention belongs to the technical field of gas detection, and particularly relates to a sulfur hexafluoride (SF) concentration detection method and device based on a dual-band tunable diode laser absorption spectrum (TDLAS) and electronic equipment. In order to solve the problems that in an existing SFdetection technology, quantification and positioning functions are separated, the anti-interference capability is poor, and high sensitivity and rapid imaging cannot be synchronously achieved, the invention provides a method combining dual-band differential absorption and TDLAS. According to the scheme, a detection device in which an open type backward reflection path is combined with a built-in White cell (a multi-reflection cell) is adopted, 10.55 microns are selected as a measurement wave band, and 9 microns are selected as a reference wave band; through synchronous or alternate acquisition of dual-band signals, wavelet denoising preprocessing, differential absorption concentration inversion, Kalman filtering gas cloud tracking and Gaussian plume model leakage source inversion, rapid imaging positioning and accurate concentration quantification of an SFleakage point are realized. The system has the advantages of high detection sensitivity, strong anti-interference capability and integrated quantitative positioning function, and is suitable for efficient inspection and accurate diagnosis of the SFleakage of the power equipment.

The application discloses a kind of front-looking scanning radar frequency domain fast imaging methods based on Gaussian prior, first obtains echo data and carries out pre-processing, then based on Gaussian prior Bayesian framework, carries out Bayesian inference, again constructs time-domain deconvolution problem, adds smoothing filter operator in equivalent regularization process, and the time-domain deconvolution problem is converted to frequency domain by Fourier transform, and fast frequency domain is solved.The method of the application adds smoothing filter operator when processing time-domain deconvolution problem, can smooth the noise and details of image, while retaining the basic structure of image, improve imaging quality, by Fourier transform into frequency domain, using the property that Fourier transform time-domain convolution is equal to frequency multiplication, successfully convert inverse operation into division operation, greatly reduce the calculation complexity, with higher imaging efficiency under the condition of not losing imaging quality.

The invention discloses a gradient coil design method and device, electronic equipment and a storage medium, which are applied to the technical field of superconducting magnetic resonance imaging systems, and are used for solving the problems that the coil inductance is relatively large and the magnetic field climbing rate is reduced, the gradient coil is an axisymmetric gradient coil, and the method comprises the following steps: discretizing the surface of a skeleton to be wired; according to the method, a triangular mesh corresponding to the surface of a skeleton can be obtained, then stream function calculation is further performed according to the triangular mesh, corresponding initial stream function distribution is determined, stream function extreme value minimization is used as a first target function, first nonlinear programming is performed on the initial stream function distribution in combination with a first preset boundary condition, and a second target function is obtained; obtaining new stream function distribution; and determining parameter information of the gradient coil according to the new stream function distribution. According to the method, the flow function extreme value is taken as the first objective function, and the flow function distribution is optimized, so that the inductance is minimum, the linearity of the gradient magnetic field is improved, and the requirement of a rapid imaging scene is better met.

This invention provides a high-precision and rapid imaging method using dual-comb absorption spectroscopy, mainly comprising: First, describing the gas parameter distribution in the measured area using multiple temperature-concentration pairs, obtaining the dual-comb absorption spectrum projections passing through multiple optical paths in this area; utilizing the high energy concentration characteristic of dual-comb absorption spectra in the time domain, performing an inverse Fourier transform on the spectrum, retaining the energy-concentrated segments, and obtaining the dual-comb time-domain absorption signal projection; Second, substituting the dual-comb time-domain absorption signal projection into a multi-optical-path temperature-concentration histogram time-domain inversion model to reduce the model dimensionality, and solving the model to obtain the temperature-concentration histogram matrix; Finally, substituting the histogram matrix into a temperature-concentration discrete reconstruction model to achieve high-precision imaging of the spatial distribution of temperature and concentration. This invention fully utilizes the rich data of dual-comb absorption spectra to improve reconstruction accuracy, while combining its energy concentration characteristic in the time domain to improve reconstruction speed, thus achieving high-precision and rapid imaging of temperature and concentration.

The application discloses a quantum correlation imaging system based on a microlens array, which comprises a transmitter, a receiver, a comprehensive control system and an image inversion system; a light source unit of the transmitter outputs a two-mode vacuum squeezed state, which is divided into a mode A light field and a mode B light field. The mode A light field remains in the local, and the mode B light field returns to the receiver after acting on a target, the receiver performs time synchronization and coincidence measurement on the mode A and B light fields under the transceiving synchronization control of the comprehensive control system, and delivers detection results to the image inversion system. The image inversion system inverts the intensity image of the target by using a high-efficiency data processing algorithm. The comprehensive control system is used for transmitter output control, receiver coincidence measurement control, clock synchronization and real-time communication. The application realizes a quantum imaging system with high energy collection efficiency, can be used for fast imaging of dark and weak targets in a strong background, and can also be applied to medical imaging of biological tissues with low damage threshold.