14 results about "Laser Speckle Imaging" patented technology

The embodiment of the invention provides a real-time laser speckle imaging method, device and system based on entropy guidance, and relates to the technical field of image processing. Performing contrast degree calculation on the laser speckle image of the target biological sample to obtain a first contrast degree image; performing down-sampling on the first contrast degree image according to n down-sampling rates to obtain n second contrast degree images; respectively extracting local entropies of regions in the first contrast degree image and the second contrast degree images; according to the extracted local entropy, determining regions with blood vessels in the first contrast degree image and the second contrast degree images; and performing noise reduction processing on the first contrast degree image and the second contrast degree images to obtain a plurality of noise reduction images, and fusing the noise reduction images to obtain a third contrast degree image. According to the invention, under the condition of a low sampling frame number, real-time imaging of the laser speckle image can be ensured, and meanwhile, the image quality similar to that under the condition of a high sampling frame number can be realized.

The invention discloses a gas leakage detection method and system based on laser speckle imaging, and the method comprises the steps: irradiating the outer wall surface of a to-be-monitored region with laser beam expansion to form laser speckles, and continuously collecting a plurality of monitoring speckle images of the to-be-monitored region; segmenting the monitored speckle image and the corresponding original speckle image without leakage into a plurality of sub-windows, and calculating the frequency spectrum amplitude and the frequency spectrum phase of each sub-window; calculating a correlation coefficient between the two sub-windows according to the spectrum amplitudes and the spectrum phases of the sub-windows corresponding to the original speckle image and the monitoring speckle image; marking the sub-windows in the monitoring speckle image corresponding to all the correlation coefficients smaller than a preset threshold value as gas leakage coarse positioning areas; and for each pixel point in the leakage coarse positioning area, calculating a pixel-level imaging operator of the pixel point, and taking the pixel point corresponding to the maximum pixel-level imaging operator as a gas leakage point.

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 relates to the technical field of medical image processing and artificial intelligence analysis, in particular to a mechanical perfusion heart coronary artery recognition and flow velocity estimation method based on laser speckle imaging, and is suitable for donor heart function evaluation and organ quality screening before heart transplantation. Comprising the following steps: continuously imaging the surface of an isolated heart in a mechanical perfusion state to acquire a dynamic speckle image sequence, inputting the dynamic speckle image sequence into a wavelet enhancement nnU-Net model to generate a coronary artery segmentation mask, and applying the coronary artery segmentation mask to the dynamic speckle image sequence to extract image data only containing a coronary artery region, and then generating a blood flow index map, analyzing the periodic change of the blood flow index in the coronary artery region to construct a blood flow velocity change curve, and estimating the hemodynamic parameters of the coronary artery. According to the application, automatic coronary artery identification and quantitative estimation of the blood flow velocity can be carried out on the mechanically perfused isolated heart, so that rapid and accurate non-invasive evaluation on the coronary artery system of the donor heart before heart transplantation is realized.

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 utility model relates to a blind guiding device which comprises a detection feedback device and an intelligent voice assistant. The detection feedback equipment is provided with a first switch, a ground projection, an infrared sensor, a laser speckle imaging system, a vibration device and a first clamp used for being clamped on a shoe; the first switch is used for starting the detection feedback equipment; the ground projection is used for projecting to the ground to remind passers-by to pay attention; the infrared sensor is used for detecting the road condition ahead; the laser speckle imaging system is used for detecting a pavement material; the vibration device is used for carrying out vibration feedback according to the detected front road condition and the road surface material; the intelligent voice assistant is provided with a second switch, a loudspeaker, a microphone and a second clip used for being clamped on the clothes. The second switch is used for turning on the intelligent voice assistant; the microphone is used for receiving sound, and the loudspeaker is used for sounding the sound received by the microphone. According to the utility model, a user and a passerby are simultaneously reminded through multiple angles, so that a safer blind guiding effect is realized.

A laser speckle imaging apparatus 100 and method are provided herein. In an embodiment, the apparatus 100 for generating flow information of a biological sample 116 comprises an illumination optical device 115 operable to generate one or more illumination light sheets for selectively illuminating the biological sample 116 to produce corresponding scattered light; a first image acquisition device 135 operable to acquire the corresponding scattered light of each illuminated layer at a same wavelength as the illumination light sheet; and an image processing device 141 operable to construct 3-dimensional flow information of the biological sample 116 from speckle patterns of the acquired scattered light. An apparatus and method for imaging a biological sample using a specific scanning mirror and grating element is also discussed.

A tissue detection system includes a light source configured to illuminate tissue of interest. An imaging head including a detector is configured to acquire auto-fluorescence of the illuminated target tissue of interest responsive to the application of the light and generate one or more auto-fluorescence images of the target tissue of interest. A controller is configured to regulate operational control of the imaging head when acquiring, receiving, and processing images. If an intensity signal of the detected one or more auto-fluorescence images of the target tissue of interest leads to a determination of parathyroid tissue, the detector is configured to acquire laser speckle contrast images to determine the amount of perfusion of the target tissue of interest to distinguish well perfused parathyroid tissue having a low speckle contrast image from less perfused tissue having a high speckle contrast image. The less perfused tissue is identified a potential false positive.

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.

This invention discloses a smart fire prevention and control method and system based on AI vision, belonging to the field of fire prevention and control technology. This invention achieves accurate fire identification and response through a four-element acquisition architecture, cross-scale preprocessing, three-in-one AI inference, and dynamic closed-loop decision-making. The method includes: acquiring multimodal data using visible light, mid-wave infrared, laser speckle imaging, and gas sensing; outputting a four-dimensional purification feature set after laser speckle denoising, image registration, and spatiotemporal alignment; constructing a cross-modal fusion network, a dynamic threshold inferencer, and an edge incremental learning module to adaptively allocate feature weights and generate scene-adaptive thresholds to complete the initial fire assessment; and achieving risk classification and personalized early warning through a three-level decision-making mechanism. This invention can effectively identify open flames, trace smoke, and concealed fire sources, improving the comprehensiveness of perception, the accuracy of identification, and the adaptability of the scene, enabling early detection, early warning, and early response to fires.

The application discloses a photovoltaic module surface defect online detection method based on multi-modal image fusion, and relates to the technical field of photovoltaic module detection.The application collects real-time data through installation of a visible light line array camera, a short-wave infrared camera, an EL line array camera and a laser speckle imaging module, and performs dynamic window median filtering on optical images, adopts time sliding average combined with dynamic threshold segmentation on infrared and EL images, adopts image-guided outlier filtering on 3D point cloud data, determines pixel defect types based on gray scale-temperature correlation and calculates fusion weights, respectively inputs the optical, infrared, EL images and 3D point cloud into a GhostNet, a lightweight ViT, a CNN and a PointNet-Lite to extract features, inputs the features into a channel attention module after global average pooling and splicing to generate modal weights, and obtains defect types through a full connection layer after weighted fusion.The application effectively improves the accuracy of defect detection.

This invention relates to the field of optical imaging technology and provides an integrated confocal laser speckle microscopy imaging device. The scanning box includes a polarizer, a beam expander, a half-wave plate, an achromatic cylindrical lens, and a polarizing beam splitter arranged sequentially according to the light propagation path. An achromatic double lens is disposed on one side of the first light-emitting surface of the polarizing beam splitter, and a galvanometer system and an achromatic double lens are disposed on one side of the second light-emitting surface of the polarizing beam splitter. The scanning box is provided with a first interface, a second interface, and a third interface. A light source, externally connected to the first interface, is located at the light inlet of the polarizer. A camera, externally connected to the second interface, receives the light emitted from the first light-emitting surface. A microscope, externally connected to the third interface, receives the light emitted from the second light-emitting surface. This embodiment realizes an integrated, modular laser speckle imaging system that maintains the high performance of confocal imaging while improving the system's stability and portability.

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.

This application provides an entropy-guided real-time laser speckle imaging method, apparatus, and system, relating to the field of image processing technology. The method involves calculating the contrast of a laser speckle image of a target biological sample to obtain a first contrast image; downsampling the first contrast image at n downsampling rates to obtain n second contrast images; extracting the local entropy of each region in both the first and second contrast images; identifying regions containing blood vessels in both the first and second contrast images based on the extracted local entropy; and performing noise reduction on both the first and second contrast images to obtain multiple denoised images. These denoised images are then fused to obtain a third contrast image. By applying this application, real-time laser speckle imaging can be achieved with low sampling frame rates while maintaining image quality comparable to that with high sampling frame rates.