16 results about "Speckle imaging" patented technology

The invention discloses an irregular particle three-dimensional shape measurement device and method based on speckle imaging, and belongs to the field of irregular particle three-dimensional shape measurement, and the irregular particle three-dimensional shape measurement device comprises an irregular particle shakeout device which is used for enabling irregular particles to fall in a sparse free falling body form, and is used for forming lamellar laser vertical to the falling direction of the irregular particles, the laser sheet generating module is used for forming complete speckle distribution on the surfaces of the irregular particles; the laser sheet generating module is used for generating a laser sheet, the multi-view image collecting module is used for collecting speckle distribution on the surfaces of irregular particles in a multi-view mode and forming speckle images, the synchronous control system is used for controlling the laser sheet generating module and the multi-view image collecting module and synchronizing the time of the laser sheet generating module and the multi-view image collecting module, and the three-dimensional reconstruction processing unit is used for obtaining three-dimensional shape data of the irregular particles according to the speckle images. According to the invention, the irregular particles can be rapidly, non-destructively and in-situ measured so as to meet the requirements of aeroengine erosion research on the precision, efficiency and integrity of irregular particle data.

The invention discloses a multimode optical fiber anti-disturbance real-time imaging method based on a double-neural network architecture, which comprises the following steps: firstly, acquiring a speckle image of a target image subjected to multimode optical fiber scattering transmission under a multi-disturbance dynamic state, then extracting spatial domain and frequency domain information of the speckle image, and training through an SFNet classification network to obtain a disturbance dynamic state classification model; and training by using a U-Net imaging network to obtain a speckle imaging model. During testing, the multimode optical fiber disturbance state corresponding to the speckle image is judged by using the classification model, and then the speckle image is input into the speckle imaging model under the corresponding multimode optical fiber disturbance state for reconstruction. According to the method, accurate classification and high-quality reconstruction of the speckle image of the multimode optical fiber under the multi-disturbance condition are achieved, good real-time performance and anti-interference performance are achieved, and the method is suitable for dynamic optical fiber imaging in the complex environment.

The application provides a neurovascular coupling imaging system, method, device and storage medium, which comprises an image collector, a microscope frame arranged in the light inlet direction of the image collector, a visible light system for emitting visible light to a sample to be collected after the visible light is reflected by a beam splitter in the microscope frame, a near-infrared light system for emitting near-infrared light to the sample to be collected after the near-infrared light is reflected by another beam splitter in the microscope frame, and a trigger device for switching the frequency of the time-sharing emission of each light source in the visible light system and the near-infrared light system based on the collection frequency of the image collector. The application can integrate different visible light or near-infrared laser light sources in the light path to be collected, is compatible with various imaging requirements such as visible light for imaging of nerve cell activity and near-infrared light speckle imaging for non-invasive blood flow imaging, ensures that there is no time difference between image collection and light source switching and no time resolution is lost, and facilitates subsequent storage and calculation of data.

The invention discloses a wide-spectrum low-coherence single-mode optical fiber light source based on synchronous emission of different upper energy levels and application. The wide-spectrum low-coherence single-mode optical fiber light source comprises a 1.55-micron nanosecond pulse optical fiber pumping source, a 1.5 / 2-micron optical fiber wavelength division multiplexer, a single-mode thulium-doped silica optical fiber, a cooling device and a single-mode output tail fiber. At the low temperature of liquid nitrogen, the quantum efficiency of emission of thulium ions 3H4-3H5 in the high-phonon-energy quartz glass is improved to nearly 100% from less than 10% at room temperature; under the pumping condition of a gain switch with a high pumping rate, synchronous emission with a nanosecond-level time difference is formed between 3H4-3H5 emission (2.3-micron wave band) and 3F4-3H6 emission (1.9-micron wave band) in the high-concentration single-mode thulium-doped silica fiber, and the two different upper energy level emission forms single transverse mode flat wide-spectrum low-coherence output with the bandwidth larger than 700 nanometers on the spectrum. The all-fiber light source is compact in structure and convenient to operate, and realizes gapless coverage in a wave band from 1.7 microns to 2.5 microns; the method can be applied to speckle-free imaging illumination, optical coherence tomography and the like.

The invention relates to the technical field of biomedical engineering. The invention discloses a method, a device and a system for measuring jugular vein pulsation based on defocus speckle imaging and a medium. The sensitivity and the accuracy of measuring jugular vein pulsation signals can be improved. The method comprises the following steps: after positioning a vein part of the neck of a target object, performing out-of-focus speckle video acquisition processing to obtain a target out-of-focus speckle video; directional motion signal extraction processing is carried out on the target out-of-focus speckle video, a target direction motion signal corresponding to each pixel point in a target image is obtained, and the target image is one frame of image of the target out-of-focus speckle video; and carrying out average value calculation processing on the target direction motion signals corresponding to all the pixels of the target image to obtain a jugular vein pulsation signal of the target object.

The application discloses a multimode fiber speckle physical state sensing and image reconstruction integrated method and system, relates to the technical field of optical speckle imaging and machine learning, constructs a multi-state speckle dataset, and selects a pilot codebook based on state separability evaluation; in the reasoning stage, the corresponding speckle sequence is obtained by loading the pilot image, the state representation vector is obtained through the shared encoder and the convergence operator, and the curvature and stress category are output; further, the error between the pilot true value and the current pilot reconstruction output is used to construct an online calibration signal, only a few step updates are performed on the FiLM parameter generation unit, adaptive compensation of the continuously drifting unknown physical state is realized; at the same time, the state representation vector is used to perform conditional modulation on the reconstruction decoder, and state-driven image reconstruction is realized; finally, the integration of physical state sensing and image reconstruction is realized. The application can effectively improve the adaptability of the system to the continuously drifting state, and improve the reconstruction quality and stability under the multi-state condition.

According to the method, the laser is controlled to approach the initial dynamic region from the outer edge of the initial dynamic region and movably irradiate the initial dynamic region to form a plurality of laser speckle sub-images until speckle fluctuation suddenly changes, so that the image A and the image B are determined. Wherein the irradiation area B corresponding to the front end of the image B in the laser moving direction and the irradiation area A corresponding to the abrupt change area of the image A have an overlapping area. In this way, the boundary of the blood flow can be determined by analyzing and comparing the image A and the image B. The blood flow boundary determined by the method is located within a false boundary determined by the false dynamic region, i.e. Closer to the real blood flow boundary than the false boundary, because there is an overlap between the irradiation region B and the irradiation region A. Therefore, the dynamic region and the static region of the image are divided by the boundary determined by the method, so that the false dynamic region in the image can be effectively reduced to realize effective denoising, and the quality of the finally obtained blood speckle image is improved.

The invention provides a multi-mode optical fiber speckle imaging and distance measuring system and method, and relates to the technical field of imaging and distance measuring, and the system comprises an optical fiber coupler which is used for coupling an illumination light field emitted by a coherent light source into a multi-mode optical fiber probe, and enabling the illumination light field to irradiate a measured target through the multi-mode optical fiber probe; the multi-mode optical fiber probe is used for receiving the signal light field reflected by the measured target into the multi-mode optical fiber and outputting a speckle field through the multi-mode optical fiber; the area array image sensor is used for sending the speckle field to the data image processing module; and the data image processing module is used for calculating the detection distance of the detected target and reconstructing the image information of the detected target based on the speckle field output by the multimode optical fiber. According to the multimode optical fiber speckle imaging and distance measuring system and method, a lens-free illumination and detection integrated structure is adopted, the integration level and flexibility of the system are remarkably improved, and meanwhile high-precision imaging and distance detection are achieved through a speckle light field of compressed sampling.

This invention relates to the field of bio-optical imaging technology, specifically to an organ status assessment method and organ perfusion system based on laser speckle imaging. The method utilizes high-frame-rate laser speckle imaging technology combined with a physiological signal gating algorithm. It extracts the original speckle image only during the diastolic window when organ motion is minimal. The original speckle image is then preliminarily corrected using a vibration-speculiar distortion model. Subpixel-level registration is then performed on the preliminarily corrected speckle image using optical flow, generating a high signal-to-noise ratio microcirculation perfusion distribution map free of motion artifacts. Based on the microcirculation perfusion distribution map, perfusion heterogeneity indices for each target assessment region are calculated to determine whether local blood flow abnormalities exist in the transported organ, thus achieving status assessment and real-time monitoring of the transported organ. This assessment method is applicable not only to organ transport but also to organ quality evaluation and immediate post-transplant assessment scenarios.

The application discloses a multimode fiber speckle physical state sensing and image reconstruction integrated method and system, relates to the technical field of optical speckle imaging and machine learning, constructs a multi-state speckle dataset, and selects a pilot codebook based on state separability evaluation; in the reasoning stage, the corresponding speckle sequence is obtained by loading the pilot image, the state representation vector is obtained through the shared encoder and the convergence operator, and the curvature and stress category are output; further, the error between the pilot true value and the current pilot reconstruction output is used to construct an online calibration signal, only a few step updates are performed on the FiLM parameter generation unit, adaptive compensation of the continuously drifting unknown physical state is realized; at the same time, the state representation vector is used to perform conditional modulation on the reconstruction decoder, and state-driven image reconstruction is realized; finally, the integration of physical state sensing and image reconstruction is realized. The application can effectively improve the adaptability of the system to the continuously drifting state, and improve the reconstruction quality and stability under the multi-state condition.

The invention relates to the technical field of medical detection, in particular to a blood coagulation spot identification method based on laser speckles, which comprises the following steps: S1, performing beam expansion on optical fiber laser to generate a circular light spot covering a dialysis pot as a speckle excitation source; s2, sequentially arranging an optical filter and a polaroid in a speckle reflection path to filter ambient light and reflection speckles, and collecting a blood flow speckle image matrix; s3, using the speckle image matrix as an input to calculate a sliding window gray scale contrast and generate a blood coagulation degree map matrix; s4, setting a threshold value according to the blood coagulation degree diagram, judging an initial blood coagulation point, and calculating a blood coagulation area; and S5, correcting the threshold value and enhancing the edge in combination with the gray gradient and the blood flow velocity model, and outputting an optimized blood coagulation distribution and area correction result. According to the method, through high signal-to-noise ratio laser speckle imaging, based on preliminary recognition of the blood coagulation degree diagram, edge contrast enhancement and blood flow model correction, accurate recognition of the blood coagulation points and high-precision estimation of the blood coagulation area are achieved.

The application relates to the technical field of biomedical engineering. The application discloses a jugular vein pulsation measurement method, device, system and medium based on defocus speckle imaging, which can improve the sensitivity and accuracy of measuring the jugular vein pulsation signal. The method comprises the following steps: after positioning the vein part of the neck of a target object, performing defocus speckle video acquisition processing to obtain a target defocus speckle video; performing directional motion signal extraction processing on the target defocus speckle video to obtain a target directional motion signal corresponding to each pixel point in a target image, the target image being one frame of image of the target defocus speckle video; and performing average value calculation processing on the target directional motion signals corresponding to all pixels of the target image to obtain the jugular vein pulsation signal of the target object.

The application belongs to the technical field of active three-dimensional reconstruction and light field three-dimensional imaging, and discloses a method for detecting ice on the surface of an airplane, a reconstruction system and equipment based on light field speckle imaging. A light field speckle measurement system is built; equivalent multi-camera calibration is performed based on the light field camera in the built light field speckle measurement system; ice layer local topography recovery of the surface of an airplane is performed based on the calibrated light field speckle measurement system; two frames of local point clouds are acquired at two different positions, and key points are extracted according to the repeated area features of the two frames of point clouds. The method for reconstructing the three-dimensional topography of the ice layer on the surface of an airplane based on light field speckle imaging can simultaneously capture the spatial distribution and angle distribution information of light in the mode of a single camera, and the active three-dimensional reconstruction mode is adopted in combination with an infrared speckle projector to acquire the distribution model of the ice layer thickness of the whole airplane through point cloud splicing technology, so that the hardware equipment is simplified and the cost is saved.

An illumination system for laser speckle imaging includes a laser light source, two or more sections of optical fiber, a fiber-coupled acousto-optic modulator (FCAOM) coupled to the light source by a first section of the two or more sections of optical fiber, and a collimating optical system that focuses light output by the laser to illuminate an object within a field of view (FOV), the collimating optical system being coupled to the FCAOM by a second section of the two or more sections of optical fiber. In some implementations, the illumination system is incorporated into a laser speckle imaging system that includes an image capture device for capturing an image of the object within the FOV. In some implementations, the image is captured and processed using an intra-exposure modulation speckle imaging technique.

Multispectral laser speckle analysis techniques have been widely used for applications such as the analysis of seed qualities, detection of fungal infections in fresh produce, estimation of blood flow velocities, and the like. However, the conventional methods fail to address color bias in images which is a major concern in terms of accuracy in applications like activity prediction. and the present disclosure provides a novel image processing algorithm which performs activity prediction without any color bias. Here, an RGB input image is segmented, and mask is generated. Distance based clustering is performed on the masked image to obtain cluster map. Simultaneously, color coded activity map is generated for each color component of the image. Further, the color coded activity map is multiplied with cluster contrast values and thereby an optimal color coded activity region is selected for activity map generation.