170results about How to "Fast imaging" patented technology

The invention discloses an SAR imaging method and system based on sparse and low-rank decomposition, and a readable storage medium. The imaging method comprises the following steps: collecting an SAR image and two-dimensional echo data, and preprocessing the two-dimensional echo data to obtain a target reflectivity; and based on the linear relationship between the two-dimensional echo data and the target reflectivity, decomposing the SAR image by using a preset method to obtain a sparse component and a low-rank component. A decomposition result is iteratively updated through a preset optimization algorithm, the precision is improved until errors converge, and a sparse and low-rank decomposition algorithm expression is obtained; and solving a preset SAR imaging model by using the sparse and low-rank decomposition algorithm expression, outputting an SAR imaging result, and finally outputting the SAR imaging result. According to the invention, the complexity of SAR imaging can be effectively reduced, and the imaging efficiency is improved. Even if the data sampling rate is reduced, the accuracy of image reconstruction can be ensured.

The invention discloses a communication encryption method based on a two-dimensional inorganic / inorganic Van der Waals heterojunction polarized photoelectric detector, and belongs to the technical field of photoelectric devices. The photoelectric detector comprises a substrate, two-dimensional MoSe2 material layers, two-dimensional ReS2 material layers and a thin film electrode, wherein the two two-dimensional material layers form a Van der Waals vertical heterojunction and are of an II-type heterostructure; due to anisotropic light absorption of ReS2, effective carrier collection and transport capabilities of MoSe2 and an inhibition effect of heterojunction on dark current, the photoelectric property of the two-dimensional ReS2 / MoSe2 photoelectric detector is obviously improved, and meanwhile, the two-dimensional ReS2 / MoSe2 photoelectric detector has high responsivity of 89.4 A / W, fast response speed of 30.5 s and polarization sensitive characteristics, and can be applied to the field of photoelectric detectors. On the basis, information is subjected to multiple encryption by means of a polarization state information encryption technology, so that the concealment and security of an information transmission process can be greatly improved, and a new possibility is provided for the development of a security communication technology in the future.

The invention discloses a two-photon imaging system and method based on vector light field regulation and control, and belongs to the technical field of microscopic imaging. The two-photon imaging system comprises a laser beam expanding module, a vector light field modulation module, a light beam scanning module and an imaging module which are arranged in sequence; the laser beam expanding module comprises a laser, a first half-wave plate, a first polarization beam splitter, a first lens and a second lens which are arranged in sequence; a laser beam generated by the laser passes through the first half-wave plate and the first polarization beam splitter for laser power adjustment, and then passes through the first lens and the second lens for beam diameter adjustment. According to the two-photon imaging system based on vector light field regulation and control, the focal field is regulated and controlled by regulating and controlling the amplitude, the phase and the polarization of the vector light field, and the imaging resolution or the volume imaging speed of the system can be improved.

The invention provides a fast magnetic resonance reconstruction method and system based on a multistage wavelet convolution network, and particularly relates to the technical field of magnetic resonance imaging and image reconstruction, and the scheme comprises the steps: collecting multi-channel under-sampling K space data; inverse Fourier transform is carried out on the multi-channel under-sampling K space data to obtain an under-sampling magnetic resonance image; and inputting the undersampled magnetic resonance image into a trained multi-stage wavelet convolutional network for reconstruction to obtain a reconstructed magnetic resonance image, the multi-stage wavelet convolutional network being constructed based on multi-stage wavelet transform and a convolutional neural network. According to the scheme, the magnetic resonance K space data is collected in an undersampling mode, the scanning time can be shortened, the multi-stage wavelet convolution network can effectively reserve high-frequency details of the image in the reconstruction process, and therefore the reconstruction quality and efficiency of the multi-channel magnetic resonance image can be remarkably improved on the whole.

The invention discloses a multi-spectral imaging system and method in a single-pixel type ultraviolet-visible-infrared wide spectral range. The system comprises a light source module, a modulation device, a lens group, a multi-spectral detection module, a multi-channel data acquisition module and a data processing module, according to the invention, a plurality of narrow-band detectors with different spectral responses are introduced into the multispectral detection module, so that additional light splitting devices and light filtering devices are avoided, parameters such as view fields, view angles and pixel numbers of images obtained by using different narrow-band detectors are completely the same, the problem of image registration does not exist, and data analysis and image fusion are facilitated; in addition, the size of the narrow-band detector is basically not limited and can reach the centimeter magnitude, and the imaging capability is improved under the condition of weak light. The multispectral imaging system provided by the invention has the characteristics of single-pixel imaging, large number of spectrums, wide spectral range, high imaging speed, good temporal-spatial resolution and small size.

The invention relates to the technical field of optical microscopic imaging, and discloses a scanning structured light microscopic imaging system and method based on a multi-focus diffraction-free light beam. Exciting light emitted by a laser light source sequentially passes through an electro-optical modulator and a lens group I and then enters a spatial light modulator; the spatial light modulator is used for synchronously regulating and controlling the multi-focus array and the non-diffraction light beam to generate the multi-focus array with the non-diffraction light beam characteristic; afterwards, the light sequentially passes through a lens group II, a two-dimensional scanning galvanometer, a scanning lens, a tube lens, an emission optical filter, a double-color piece and an objective lens and then irradiates a sample to be imaged; fluorescent light generated by a to-be-imaged sample passes through the objective lens and the double-color sheet and then is transmitted to the area-array camera, and fluorescent light signals at a plurality of focal points are collected to form a fluorescent light image. According to the invention, a diffraction-free optical phase modulation mechanism is introduced, simultaneous imaging of different depth layers is realized, the imaging speed is improved, sample information missed due to limited focusing depth is avoided, and the optical power utilization rate and the imaging quality are greatly improved.

The invention discloses a transmission-type nondestructive testing method and system based on a terahertz area array detector, and belongs to the technical field of terahertz imaging nondestructive testing. According to the frequency mixing array imaging system based on the terahertz technology and based on shaping and focusing of terahertz wave beams, a ceramic or glass fiber reinforced composite material sample piece for aerospace is placed between the shaping lens and the imaging lens, transmission type detection is carried out on the sample piece, and the frequency mixing array detector obtains surface area information of the sample piece; and typical defect feature processing and defect identification are carried out, so that the state of the sample piece is rapidly evaluated. The invention aims to solve the problems of low efficiency and low imaging quality in the existing terahertz nondestructive testing technology. By adopting the terahertz area array detector and the optical imaging assembly, rapid and high-resolution nondestructive detection can be realized, and the terahertz area array detector is particularly suitable for application scenes requiring high detection efficiency and imaging quality.

An intraoral three-dimensional imaging device comprises a monocular blue light speckle structured light projector, a white light LED illumination module, a macro RGB camera, a depth decoding module, an inertial measurement unit IMU module and an oral cavity scanning head, the monocular blue light speckle structured light projector emits blue light speckle coding patterns, the white light LED illumination module emits white light, the monocular blue light speckle structured light projector and the white light LED illumination module project alternately, and the blue light speckle coding patterns and the white light are coded. After being reflected by the 45-degree mirror surface of the oral cavity scanning head, the light is irradiated to the oral cavity teeth, then the macro RGB camera collects the irradiated oral cavity tooth image, and RGBD data is output after the monocular structure light depth decoding of the depth decoding module. The device has the advantages of being small in size, good in imaging effect of resisting high reflection or semitransparent of a dental face, high in 3D modeling precision, high in generation speed and capable of removing the influence of water mist in an oral environment.

The invention relates to the technical field of magnetic particle imaging, in particular to a non-magnetic field line three-dimensional magnetic particle imaging method and system based on weak gradient coding, and the method comprises the steps: driving a zero magnetic field line to carry out the spiral scanning of an imaging object; exciting a nonlinear response signal generated by magnetic particles of the imaging object; obtaining a two-dimensional image of magnetic particle concentration distribution in the imaging object; performing spatial position coding on the zero magnetic field line; obtaining target magnetic particle concentration distribution on the zero magnetic field line; and obtaining a three-dimensional image of the magnetic particle concentration distribution in the imaging object. According to the invention, the zero magnetic field line along the axial direction is constructed, and the Halbach permanent magnet array is driven to carry out visual field scanning of two-dimensional imaging. Two-dimensional imaging is carried out by adopting axial projection, then three-dimensional reconstruction is carried out under the guidance of the two-dimensional reconstruction image, and the three-dimensional reconstruction image is reconstructed by encoding the zero magnetic field line, that is, the three-dimensional image reconstruction can be completed only by scanning twice, and the imaging speed is higher compared with the traditional three-dimensional tomography.

The present invention discloses a method for communication encryption based on a two-dimensional inorganic / inorganic van der Waals heterojunction polarization photodetector, which belongs to the technical field of optoelectronic devices. The photodetector includes a substrate, a two-dimensional MoSe2 material layer, a two-dimensional ReS2 material layer and a thin film electrode, and the two two-dimensional material layers constitute a van der Waals vertical heterojunction and a type II heterostructure; due to the anisotropic light absorption of ReS2, the effective carrier collection and transport capacity of MoSe2 and the inhibitory effect of the heterojunction on dark current, the photoelectric performance of the two-dimensional ReS2 / MoSe2 photodetector is significantly improved, and it also has a high responsivity of 89.4 A / W, a fast response speed of 30.5 µs and polarization sensitivity. On this basis, multiple encryption of information is performed with the help of polarization state information encryption technology, which can greatly improve the concealment and security of the information transmission process, and provide new possibilities for the development of future secure communication technology.

The invention belongs to the technical field of pulsed eddy current nondestructive testing, and particularly discloses a ferromagnetic component pulsed eddy current detection imaging method and system, and the detection imaging method comprises the following steps: collecting a pulsed eddy current signal of a ferromagnetic component, carrying out logarithmic processing on the pulsed eddy current signal, and then carrying out secondary filtering processing; carrying out dimension reduction processing on the signal after the secondary filtering processing; calculating an amplitude standard deviation of the signal after dimension reduction processing of each time dimension, and selecting an effective imaging interval based on the amplitude standard deviation; performing Min-Max standardization processing on the data in the effective imaging interval; and calculating a pixel value based on a processing result obtained by Min-Max standardization, and carrying out homogenization processing on the pixel value to obtain a pulsed eddy current image. According to the invention, rapid imaging can be realized aiming at the pulsed eddy current detection signal of the ferromagnetic component, so that defects can be identified and preliminarily positioned.

The invention discloses a space-based infrared coding spectral imaging optical system and an imaging method thereof, and belongs to the technical field of optics, the space-based infrared coding spectral imaging optical system is composed of a long-wave infrared channel and a medium-wave infrared channel, the two channels share a three-mirror system for primary image imaging, a light splitter is adopted for light splitting, medium-wave infrared light is reflected, long-wave infrared light is transmitted, and collimation is performed after light splitting. Dispersion and aliasing of spectrums are carried out in a biprism mode, each sub-channel is composed of a front prism, a main optical lens, a relay lens 1, a coding plate (a primary imaging surface), a relay lens 2, a rear prism and the like, data acquisition is carried out after dispersion aliasing is carried out, and resolving imaging is carried out by adopting a spectrum coding algorithm.

The invention relates to the technical field of optical microscopic imaging, in particular to a three-dimensional active feedback tracing imaging device and method. According to the scheme, after the light source emits the laser, the laser is modulated through the laser focus modulation assembly to generate the illumination area, the laser focus scans at each scanning position of the illumination area, the fluorescence signal is generated after the laser irradiates the to-be-tracked object, and the fluorescence signal is collected through the fluorescence signal collection assembly; the signal is transmitted to the control and processing assembly, the control and processing assembly calculates the position deviation between the position of the object to be tracked and the reference position in the illumination area according to the position of the laser focus and the electric signal, and the spatial position of the illumination area is adjusted according to the position deviation, so that the object to be tracked is always located at the reference position in the illumination area. According to the invention, active feedback tracing of the to-be-tracked object is realized by controlling the movement of the illumination area, the imaging precision and the imaging speed are obviously improved, and the three-dimensional active feedback tracing function of the high-speed moving target is realized.

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 present invention is applicable to the field of photoacoustic microfluidic detection, and provides a photoacoustic microfluidic detection system based on a planar waveguide, including: a microfluidic chip module, a laser excitation module, a laser detection module block and a signal processing module; wherein the microfluidic chip module includes a microfluidic channel and a planar waveguide arranged above the microfluidic channel; the laser excitation module is used to excite the target sample in the microfluidic channel below the planar waveguide to emit ultrasonic waves; the laser detection module is used to receive the photoacoustic signal generated by the target sample after being excited, and convert it into a voltage signal; the signal processing module is used to receive the voltage signal of the laser detection module and process it to obtain the optical signal of the target sample. The present invention has a simple structure, low cost, high integration, and a wide detection range. It can realize large-area rapid scanning detection of biological or chemical samples, obtain photoacoustic signals of multiple points of the sample, and then quickly image the sample.

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.

The present application provides a kind of optical angiography based on optical coherence tomography, first by optical coherence tomography system to biological tissue B scanning and C scanning, obtains three-dimensional structure image.The interference spectrum of each A scanning signal of B scanning is preprocessed, and the interference spectrum is decomposed into N sub-interference spectrum signals, N is greater than or equal to 2.Fourier transform is carried out to the sub-interference spectrum signal, and N groups of structure map data at the same position are obtained.Speckle variance is solved to N groups of structure map data, and speckle variance is averaged in depth direction.Compared with prior art, the present application angiography method does not need to repeat signal acquisition at the same position, greatly improves the acquisition speed of system, and can avoid the interference of traditional optical coherence tomography angiography system on reconstructed image caused by living sample shaking.

The utility model relates to the technical field of microscopes, and discloses a portable rapid imaging microscope, which comprises a microscope main body, a foldable support, an object placing table and an adjusting assembly, the main body and the object placing table are both arranged on the support, the object placing table is arranged right below the main body, the object placing table is in sliding connection with the support, and the adjusting assembly is arranged on the support. The main body can be wrapped in the folded support, the adjusting assembly is installed between the storage table and the support, and the position of the storage table is adjusted through the adjusting assembly. According to the utility model, in the whole use link, the whole microscope can be quickly unfolded only by directly opening the foldable support, so that the microscope can be assembled and spliced without rotating bolts too much, the use steps are greatly simplified, the imaging is faster, and in addition, the use cost is reduced. In addition, the main body of the whole microscope can be stored in the foldable bracket, so that the lens of the microscope can be effectively protected.

The utility model relates to the technical field of nuclear magnetic resonance imaging devices, in particular to a double-tuned animal coil which comprises a cylindrical coil, a coil supporting structure, a base, a side supporting structure and a supporting plate, the cylindrical coil is arranged in the coil supporting structure, the base supports the coil supporting structure, the side supporting structure is fixed at one end of the base, and the supporting plate is fixed at the other end of the base. The supporting plate is in sliding connection with the side supporting structure and is driven by the linear driving structure to extend out of the cylindrical coil or retract into the cylindrical coil, an adjustable limiting structure and a position sensor are arranged on the supporting plate, the cylindrical coil is a double-tuning coil, the position of an animal is limited through the adjustable limiting structure, and the position of the animal is adjusted through the position sensor. The linear driving structure drives the supporting plate to stretch out and draw back so as to facilitate imaging, the automation degree of the device is improved, meanwhile, the position sensor is matched, the position of the supporting plate can be accurately controlled, and imaging position conditions are guaranteed. Meanwhile, multiple nuclear signals can be obtained at the same time through one-time scanning, the imaging speed is high, and the imaging effect is good.

The present invention discloses an electromagnetic quantitative imaging method based on target multi-frequency spatial spectrum splicing, the purpose of which is to solve the problem of poor imaging accuracy caused by multi-frequency spatial spectrum aliasing in traditional diffraction tomography methods, realize geometric imaging and physical imaging of the target, and belong to the field of radar imaging. The present invention first performs spatial two-dimensional Fourier transform processing on the backscattered echo signal to obtain a spectrum domain signal, then performs coordinate transformation and interpolation on the spectrum domain signal, and then processes the real part and imaginary part of the spectrum domain signal respectively to obtain a dielectric parameter spectrum domain and a conductivity spectrum domain, and then performs de-aliasing processing on the multi-frequency dielectric parameter spectrum domain and the conductivity spectrum domain to obtain a multi-frequency spliced ​​dielectric parameter spectrum domain and a conductivity spectrum domain of the target, reduce the influence of the aliased spectrum domain on the imaging performance of the target, and finally obtain the geometric imaging and physical imaging of the target body.

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 hyperspectral image acquisition and reconstruction method for a medical endoscope. First, the spectral signal reflected by a target tissue is collected and separated into five spectral channels of R, G, B, 830nm and 900nm-1100nm, and a five-channel multispectral image signal is collected. A low-dimensional subspace is constructed based on a public hyperspectral sample, and a hyperspectral reflectivity vector is represented as the product of a subspace base matrix and a coefficient vector. Then, a linear correlation model of an observation vector and the coefficient vector is established under the low-dimensional subspace in combination with spectral channel response information, and a subspace coefficient vector is solved by using a regularized generalized inverse. The coefficient vector is substituted into the low-dimensional subspace, and an initial hyperspectral data cube is reconstructed pixel by pixel. The initial spectral estimation data is input into a pre-trained spectral super-resolution neural network, and a high-quality hyperspectral image is output. The application reconstructs a hyperspectral image from a limited waveband multispectral image, and has the advantages of fast imaging speed, rich spectral information and the like.

This application discloses an illumination rotation module arranged in a structured light super-resolution illumination microscopic imaging optical system. It includes a rotatable galvanometer with two parallel and opposite mirror surfaces arranged relative to a rotation axis intersecting the principal optical axis. M mirror groups, each comprising at least three mirrors, are arranged around the galvanometer. When the galvanometer is at an angular position about the rotation axis, linearly polarized light incident on the illumination rotation module is reflected sequentially through one mirror surface of the galvanometer, each mirror in a mirror group corresponding to the angular position, and the other mirror surface of the galvanometer. This causes the propagation direction and deflection direction of the linearly polarized light to rotate synchronously before exiting the illumination rotation module. This application also discloses a structured light super-resolution illumination microscopic imaging optical system.

The invention discloses a methane telemetering imaging system and method based on an active infrared absorption spectrum and a fast reflector, and the system comprises a main control module, a laser driver, a laser, a detector, an off-axis parabolic reflector, a voice coil fast reflector, and a distance measurement module. The laser driver controls the laser device to emit modulated laser, the voice coil fast reflecting mirror controls the angle of emergent laser, the semiconductor photoelectric detector receives an echo optical signal, converts the echo optical signal into an electric signal and sends the electric signal to the main control module, and the main control module further completes signal analog-to-digital conversion through an analog-to-digital converter. And a digital lock-in amplifier is used to demodulate the signal to respectively obtain a first harmonic and a second harmonic. The method has the advantages of high imaging speed, high spatial resolution, high detection sensitivity and the like.

The present invention proposes a lensless microscopic imaging system and method based on self-supervised deep learning. The system includes a multi-height imaging module and a phase recovery module based on self-supervised deep learning. The multi-height imaging module is used to collect diffraction images of an observed object at multiple heights that do not require calibration, including a light source, an observed object and an image sensor placed in sequence, wherein the image sensor can move axially to change the height of the diffraction image; the phase recovery module based on self-supervised deep learning is used to instantly reconstruct the amplitude and phase information of the observed object according to the diffraction image and simultaneously jointly optimize the imaging model parameters. The present invention introduces self-supervised deep learning into the existing lensless imaging system, collects multi-height diffraction image information of the sample, and uses self-supervised deep learning to reconstruct the sample image and jointly optimize the imaging model parameters, thereby achieving label-free, unconstrained, high-performance, and high-quality imaging of the sample.

The invention discloses an XFCT (X-ray fluorescence computed tomography) imaging system based on a Thomson scattering X-ray source, and belongs to the technical field of X-ray imaging, the XFCT imaging system comprises a sample to be detected, an X-ray source module, a sample rotating table, a projection detection module, a sample attenuation detection module and an image reconstruction module; the system structure is adopted, the newly-arranged excitation source and the porous collimator are adopted, the imaging effect is improved, specifically, a Thomson scattering X-ray source is used as the excitation source of XFCT, and the source has the advantages of quasi-monochromaticity, adjustable energy, linear polarization, high brightness, compact structure and the like; the multi-hole collimator is used for collecting signals in parallel, and the sensitivity of the imaging system is remarkably improved while the resolution ratio is kept. The Thomson scattering X-ray source and the porous collimator are combined to be used for XFCT, and the imaging efficiency of the XFCT can be remarkably improved.

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 present invention discloses a wavenumber domain three-dimensional ultrasound full-matrix imaging method based on CUDA. The present invention represents the original full-matrix data in the form of a five-dimensional matrix, converts the obtained original full-matrix data into the wavenumber domain through a five-dimensional fast Fourier transform, realizes the wavenumber conversion between the original data coordinate system and the imaging coordinate system by means of Weyl's Identity, obtains the mapping of the image coordinate system through eight linear interpolation, and then obtains the three-dimensional image through a three-dimensional fast inverse Fourier transform. The present invention adopts the VTK module and uses the MIP (maximum intensity projection) ray projection method to obtain the rendered two-dimensional image, and can change the observation angle and distance of the three-dimensional image in real time. The present invention has the real-time high-efficiency, high-quality three-dimensional imaging and two-dimensional rendering capabilities for variable regions of interest, can be flexibly transplanted to computer equipment with a CUDA computing platform, and can cope with the rapid processing of large amounts of three-dimensional full-matrix data.

The present invention discloses a method for processing a target material distribution image in a coherent imaging system, and belongs to the technical field of coherent imaging image processing. The method includes configuring a reference laser interference signal subdivision multiple so that the exposure trigger frequency is more than 2 times higher than the highest frequency of the light interference signal in the observation band; designing a special narrow-band bandpass FIR filter according to the characteristic absorption wavelength of the target material component to be measured, the reference laser wavelength, and the reference laser interference signal subdivision multiple; based on the area array coherent imaging technology, acquiring the interference signal data cube image frame by frame according to the exposure trigger frequency; sending the newly added frame image data of the data cube to the FIR filter for parallel real-time processing to obtain a two-dimensional normalized image of the material distribution; and obtaining a two-dimensional concentration distribution image with quantitative concentration based on the background removal processing of the normalized image. The present invention realizes synchronous calculation in the process of acquiring the coherent imaging data cube frame image, saves storage resources, and improves the material distribution imaging rate.

A computer implemented method for determining a distance of an object comprises the following steps carried out by computer hardware components: determining an image containing the object; determining a class of the object based on the image; determining a coarse estimation of the distance based on a distance sensor; and determining the distance of the object based on the coarse estimation and based on the class of the object.