234 results about "Spectral filtering" patented technology

The invention relates to the technical field of remote sensing surveying and mapping, in particular to a terrain recognition and three-dimensional reconstruction method based on a remote sensing surveying and mapping image, which comprises the following steps of: recognizing and selecting a key spectral band based on a remote sensing image, adjusting the configuration of a spectral filter, extracting key terrain data according to configuration data, and analyzing terrain change by utilizing terrain feature data. And recording related wave bands and positions, forming a comparison table, and combining natural colors and surface texture analysis to generate a three-dimensional model of the terrain. According to the method, the key spectrum sections are screened by adopting the preferable waveband index, the specificity and efficiency of data acquisition are improved, the spectral response section is accurately adjusted, it is ensured that a spectral region with remarkable earth surface reflection characteristics is focused on, and the practical value of spectral data is improved; the spectral configuration data optimizes the response performance of the sensor so that the data collected from the terrain is more sensitive and accurate.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

Hyperspectral imaging methods, devices and systems are described that improve the hyperspectral accuracy, and reduce manufacturing costs, by using two images that enable the recovery of hyperspectral images with high fidelity. One hyperspectral imaging device includes one or more imaging lenses, one or more sensors positioned to receive light associated with an object from the one or more imaging lenses, and a spectral filter. The hyperspectral imaging device is configured to capture a first image produced without using the spectral filer and to capture a second image produced with the spectral filter. The first image and the second image have different spectral contents, and the first and the second images are processed using a trained neural network for producing hyperspectral imaging data associated with the first and second images.

The invention relates to the technical field of photovoltaic module detection, in particular to a TOPCon battery piece defect detection device and a TOPCon battery piece defect detection method. The optical imaging module comprises a 25,000,000-pixel camera, a three-color integral light source array and a multispectral optical filter group, and the light source array is composed of red, green and blue LEDs and supports pulse synchronous triggering; the traditional algorithm processing module is integrated with a Halcon image processing library and is configured with a VarThreshold operator dynamic threshold segmentation unit, an adjustable kernel size corrosion filtering unit and a light and shade separation unit, and an Erosion Rectangle1 operator is used for corrosion filtering; the AI defect detection module is internally provided with an improved YOLOv8 neural network model, and the model structure comprises a Backbone network embedded with a CBAM attention mechanism, a BiFPN network bidirectional feature pyramid and a dynamic loss function optimizer; according to the technical scheme, the limitation problems of low positioning precision, poor detection efficiency, single defect identification dimension and the like of an artificial vision or traditional probe contact detection means can be solved.

An optical comb generator receives light from at least two continuous wave laser sources, produces a different frequency comb from each laser source, and produces an output that it the simultaneous combination of the different frequency combs. The different frequency combs span different frequency bands, but at least partially overlap in frequency with an adjacent comb in a region of overlap. A spectral filter produces a filtered output that has at least one pair of tones from the region of overlap, the pair of tones comprising one tone from each of two adjacent combs. Feedback control based on the filtered output is applied to adjust the light entering the comb generator such that the frequencies and phases of the pair of tones from the region of overlap are aligned. In this way, the multiple different overlapping combs are stitched together to form a single seamless comb spanning a broader frequency range.

A device (18) configured to filter magnetic resonance (MR) signals includes, at least one electronic processor (24) programmed to: receive at least one MR signal (26) excited in a subject disposed in an MR imaging device (10); transform the at least one MR signal with a coherence function representing the at least one MR signal as an instantaneous frequency spectrum as a function of time: apply spectral filtering to the transformed at least one MR signal; and reconstruct at least one medical image from the filtered at least one MR signal.

A multispectral image capture device includes an imaging platform having arranged thereon an image sensor comprising a photosensitive surface and an optical unit, a gimbals system for controlling a line of sight of the image sensor, a filter wheel comprising a series of n spectral filters arranged between the image sensor and an imaging target; and a drive system configured to rotate the filter wheel at a constant velocity so as to bring each of the spectral filters into a line of sight between the image sensor and the imaging target. A controller is adapted to synchronize movement of the imaging platform, control of line of sight of the image sensor with the gimbals, and constant rotation of the filter wheel, such that the image sensor captures a sequence of overlapping step-and-stare images through the series of rotating spectral filters without changing a speed of rotation of the filter wheel.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

The invention relates to the technical field of image recognition, and particularly discloses an image recognition method for multispectral bird monitoring, which comprises the following steps of: S1, carrying out multi-angle shooting on a bird monitoring area by utilizing a multispectral camera equipped with a plurality of different spectral filters to obtain image data of a plurality of spectral bands; the collected image data is preprocessed; s2, performing feature extraction according to the spectral band type of the preprocessed image data; feature fusion is carried out; s3, constructing an integrated classifier; training an integrated classifier by using the fused image data set, and optimizing classifier parameters; and S4, acquiring a multispectral bird image in real time, inputting the multispectral bird image into the trained integrated classifier for recognition after preprocessing and feature extraction, and determining a final bird recognition result according to a voting mechanism. According to the invention, the image acquisition, processing and identification process is more accurate and controllable.

An image sensor and an image processing method of the image sensor are provided. The image sensor includes: a spectral filter including a plurality of unit filters arranged in two dimensions and having different wavelengths; an image sensor including a pixel array receiving light transmitted through the spectral filter and outputting image signals; and a processor performing image processing on image signals output from the pixel array.

A hydrocarbon gas detection system including a longwave infrared camera, a spectral filter, and a computation unit. The spectral filter is disposed in the light path of the camera sensor. The spectral filter is made of a material selected from the group consisting of calcium fluoride, zinc sulfide, magnesium fluoride, and silicon. The computation unit is arranged to process image data of the longwave infrared camera for the hydrocarbon gas detection.

Methods and systems for processing sequences using spectral state space models One of the methods includes, for successive time steps: processing an initial item embedding using an analysis network comprising processing layers arranged in a sequence, a first processing layer being configured to receive the initial item embedding, and to output a modified item embedding, and each other processing layer being configured to receive the item embedding output by the preceding layer and output a modified item embedding; wherein at least one of the processing layers is a spectral transform layer which, for each time step: generates a plurality of feature vectors by processing a sequence embedding using a plurality of spectral filters; multiplies the feature vectors by weight matrices, to form respective weighted feature vectors; and generates the modified item embedding for the time step including a term based on the weighted feature vectors.

The invention provides a preparation method of a reflective volume Bragg grating optical filter with a high signal-to-noise ratio. Through the light intensity modulation plate, the refractive index modulation degree presents any function distribution with a high center and gradually reduced two sides in the thickness direction of the volume grating optical filter, so that the distribution of the refractive index modulation degree is optimized, the signal-to-noise ratio is remarkably improved, the inter-channel crosstalk is effectively inhibited, the signal-to-noise ratio exceeds 60dB in the spectral range of 3nm, and the volume grating optical filter has a wide application prospect. And important application values are shown in the fields of optical communication, spectral filtering, optical display and the like.

An imaging device capable of producing images or data with relatively high spectral diversity, allowing for creation of information-rich feature vectors, is provided. Among other things, such information-rich feature vectors may be applied to a range of artificial intelligence and machine learning applications. The imaging device may include a substrate having a baseline spectral responsivity function, multiple pixels forming a cell fabricated on the substrate, and spectral filters each configured to filter light based on a transmission function corresponding to a substantially broad portion of the baseline spectral responsivity function. The spectral filters may be notch filters. Each of the multiple pixels in the cell may be configured to receive light through each of the spectral filters. The transmission function of each of the spectral filters may be substantially different for each of at least a majority of the multiple pixels in the cell.

An X-ray irradiation apparatus (100) comprises an X-ray source device (110) for creating X-rays (2) with a polychromatic spectrum and an X-ray optic device (120) with a beam axis (3) that is longitudinal, wherein the X-ray optic device (120) comprises a reflector device (121) that is polycrystalline having a reflector geometry, a reflector mosaicity and a reflector thickness and the reflector device (121) is arranged for receiving a portion of the X-rays (2) within an acceptance angle of the reflector device (121) and for creating an X-ray beam (4) by Bragg reflection, which is directed along the beam axis (3) towards a focal position thereof and has a spectral distribution determined by the polychromatic spectrum of the X-rays (2), the reflector geometry, the reflector mosaicity and the reflector thickness, and wherein the X-ray irradiation apparatus (100) further comprises a spectral filter aperture device (122) that is arranged downstream from the reflector device (121) for creating a filter gap (123) transmitting a first spectral portion (4A) of the spectral distribution of the X-ray beam (4) and blocking a second spectral portion (4B) and a third spectral portion (4C) of this spectral distribution, wherein the first spectral portion (4A) has higher energies than the second spectral portion (4B) and lower energies than the third spectral portion (4C), wherein the reflector device (121) has an acceptance solid-angle of at least 100 micro-steradian, and wherein the reflector geometry, the reflector mosaicity, the reflector thickness and the acceptance angle of the reflector device (121) are selected such that simultaneously a radiation flux in the first spectral portion (4A) is at least 1% of an incoming flux of the same spectral portion of the X-rays (2) received by the reflector device (121) with a peak reflectivity of at least 1%, the first spectral portion (4A) has a spectral bandwidth of at most 15%, the second and third spectral portions (4B, 4C) have a flux reduced by at least three orders of magnitude compared with the flux in the first spectral portion (4A), and the X-ray beam (4) has a focal spot size of less than 1.5 mm in both transverse dimensions relative to the longitudinal beam axis. Furthermore, an X-ray fluorescence imaging apparatus (200) and a method of using the X-ray irradiation apparatus (100) are described.

The present invention discloses a reflective portable imaging and image processing method for metal mesh defect detection. The method comprises the following steps: constructing a reflective portable imaging system and combining it with a carrying motion device to capture images of the metal mesh in situ; extracting prior information about block defects and broken wire defects from the metal mesh image using a method based on spectral filtering fusion and Hough transform; inputting the captured image and the prior defect information into a low-rank decomposition model to obtain the low-rank portion, sparse portion, and noise portion of the image; and performing threshold segmentation on the sparse portion to extract defects. The method can achieve in-situ imaging measurement of the metal mesh, identify and detect various defects in the metal mesh image, and provide accurate and efficient detection results.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

The invention discloses an AI-driven fish raw material multi-modal digital sorting system, relates to the technical field of multi-modal data fusion and processing, and aims to realize multi-modal data real-time fusion analysis by introducing hyperspectral imaging and X-ray perspective technologies and combining a convolutional neural network, so that the fish individual feature capturing capability is remarkably improved; for fish behavior variability, a behavior uncertainty index Ui is constructed, so that the sensor sampling frequency and the convolutional neural network weight are dynamically adjusted, and the sorting accuracy and efficiency are greatly improved. Meanwhile, the system monitors water quality parameters such as turbidity, dissolved oxygen and suspended matter concentration, calculates an environmental stability coefficient Es, and adopts self-adaptive spectrum filtering and X-ray perspective technologies, so that visual interference caused by turbid water and non-uniform light is effectively inhibited, stable operation of the system under complex water quality conditions is guaranteed, sorting errors are remarkably reduced, and the sorting efficiency is improved. And the sorting efficiency and the product quality are comprehensively improved.

The invention provides a spectrum enhancement filtering metasurface method based on multi-physics field coupling, and the method comprises the steps: building a heat-force multi-physics field model of a metasurface under the incidence of high-power laser, obtaining a temperature field through calculation, and recognizing a hot spot region based on the temperature field; calculating a thermal stress field based on the temperature field, calculating refractive index variation and distribution of the metasurface material based on the temperature field and the thermal stress field, further quantifying resonant wavelength drift caused by the refractive index variation, and positioning an optical mode mismatch area; reversely designing geometric parameters of a compensation structure based on the resonant wavelength drift distance and the optical mode mismatching region; preparing a compensation type metasurface sample according to the geometric parameters, and testing the spectral response of the compensation type metasurface sample under high-power laser; based on the spectral response, the spectral enhancement filtering stability of the compensation type metasurface sample is evaluated, the problem of thermal-optical mismatch caused by high-power laser is solved, and long-term stable operation of the spectral filtering function in a severe environment is achieved.

The present invention relates to the field of optical elements, systems or instrument technology, specifically to a temperature field testing method based on colorimetric temperature measurement combined with multispectral imaging, which solves the technical problems of low temperature field temperature measurement reconstruction accuracy and low temporal and spatial resolution in existing temperature measurement methods, and includes constructing a temperature field measurement system for a solid engine combustion chamber, using LIBS technology to determine the spectral range and temperature measurement range of the temperature field of the solid engine combustion chamber, coupling and packaging a multispectral filter with a CMOS sensor, calibrating the multispectral camera using the blackbody furnace, obtaining a spectral image of the temperature field using the multispectral camera, obtaining a two-dimensional temperature field of the solid engine combustion chamber using a colorimetric temperature measurement method, and performing a comprehensive evaluation. The present invention can obtain multispectral information of a flame in a solid propellant combustion chamber, and realize high temporal and spatial resolution detection of a two-dimensional temperature field in a solid engine combustion chamber.

Image sensors, imaging systems, and methods for constructing image sensors. The image sensor includes a pixel array. The pixel array includes a first photosensitive region, a second photosensitive region, a spectral router, and a spectral filter. The first photosensitive region is configured to detect visible light within a color wavelength range. The second photosensitive region includes a plurality of light scattering structures. The second photosensitive region is configured to detect infrared light. The spectral router is positioned over at least the first photosensitive region. The spectral router is configured to route the visible light within the color wavelength range to the first photosensitive region. The spectral router is also configured to route the infrared light to the second photosensitive region. The spectral filter is positioned over the spectral router. The spectral filter is configured to block visible light outside of the color wavelength range.

The present invention relates to a Bragg diffraction grating device integrated in a waveguide, wherein the Bragg diffraction grating comprises corrugations that repeat periodically along the opposite sides of the Bragg diffraction grating, wherein two consecutive corrugations in the Bragg diffraction grating are arranged on opposite sides of the Bragg diffraction grating with respect to each other. The invention also relates to a use of the device according to a first aspect of the invention to filter a Bragg wavelength value (λB) in the range of 450-1750 nm. Lastly, the invention further relates to a use of the device according to the first aspect of the invention in telecommunication systems, spectral filtering systems, laser systems and / or optical detection systems.

An integral field spectral imager has a plurality of optical homogenizers. Each optical homogenizer is in-register with a corresponding different superpixel in a superpixel array and is configured to spatially homogenize incident EMR and to pass the spatially homogenized EMR to a spectral filter in an array of spectral filters, thence to the in-register, corresponding different superpixel. Baffles are included to maximize confinement of the spatially homogenized EMR passed by a single optical homogenizer to the in-register, corresponding different superpixel so as to minimize crosstalk between superpixels. Optical homogenizers and baffles are designed to produce a pattern of homogenized EMR on a superpixel, regardless of where incident EMR is received on an optical homogenizer. Methods for using embodiments of the spectral imager in a variety of spectral bands in the EMR spectrum enable determining spectral information about incident EMR.

This invention belongs to the field of concrete pouring technology, and particularly relates to a precise control method for pile foundation concrete pouring based on multi-source sensor fusion. Addressing the problems of large measurement errors, frequent over-pouring, and significant concrete waste in traditional pile foundation pouring, this invention employs a high-frequency ultrasonic probe array coaxially fixed to the outer wall of the pouring guide pipe to uniformly elevate and scan, acquiring three-dimensional point cloud data of the entire pile foundation. After two levels of outlier removal and adaptive multi-scale spectral filtering preprocessing, combined with the expansion of the over-pouring section point cloud, a high-precision three-dimensional model of the pile foundation is constructed. Cross-sectional features at each depth are extracted to generate a pumping flow rate feedforward compensation curve, and a segmented adaptive improved PID controller is constructed with real-time concrete interface elevation and rise speed as feedback quantities to dynamically regulate the pumping flow rate. This invention achieves automated, intelligent, and precise control of the entire pile foundation pouring process, effectively improving pouring control accuracy, significantly reducing concrete waste and construction costs, and solving the measurement and pouring control problems of traditional construction.

The invention discloses a disease analysis system based on an improved hyperbolic graph neural network model, which combines hyperbolic space embedding, high-order spectral filtering and an adaptive mechanism to improve the expression and reasoning ability of multi-scale structural features in a medical knowledge graph. The system can extract richer structural features in a frequency domain by introducing a high-order spectrum filter constructed based on a Legendre polynomial; automatically adjusting the receptive field range of the filter to adapt to different graph structures by using a self-adaptive order; and disease node classification and relation prediction are realized through logarithm mapping and a neural classifier. Experimental results show that compared with an existing method, the method has higher accuracy and lower loss value in disease map node classification and link prediction tasks, a structured medical knowledge system can be optimized, medical map information can be complemented, potential disease association and drug connection can be found, and the method has good clinical application prospects.

The invention relates to a mirror for a projection exposure device, comprising a spectral filter, which is designed as a grating structure (30) and is used for the light reflected by the mirror. The grating structure (30) has at least two grating layers and thus specifies at least two optical path lengths of the reflected light. An integral side portion (35) of the grating structure (30) is arranged in each case between grating layer structural portions (33, 34) of the grating structure (30), each grating layer structural portion (33, 34) specifying an adjacent grating layer. The lower limit space wavelength on the defect-free partial side surface portion of the overall side surface portion (35) is within the range of 0.01 [mu] m to 1 [mu] m but excluding 0.01 [mu] m and 1 [mu] m, and the defect-free partial side surface portion of the overall side surface portion (35) constitutes at least 90% of the overall side surface portion (35). An upper limit spatial wavelength on the defect-free partial side surface portion of the overall side surface portion (35) is in a range between 0.1 [mu] m and 100 [mu] m but excluding 0.1 [mu] m and 100 [mu] m. The effective roughness of the defect-free local side surface portion is less than 10 nm in a range of not less than the lower limit spatial wavelength but not more than the upper limit spatial wavelength. A protective layer is arranged on the grating structure (30). Therefore, the service life of the reflector is prolonged.

The application provides an X-ray ultrafast imaging system and method based on radiation conversion and spectral filtering, which solves the problems of poor universality, low time resolution or limited number of frames in existing X-ray ultrafast imaging technology. The system comprises an X-ray coupling module for coupling target X-ray signals to image on a semiconductor chip module, a semiconductor chip module for converting the X-ray intensity space-time distribution into the chip refractive index space-time distribution, a chirped pulse light generation module, a chirped pulse light coupling module for irradiating linear chirped pulse light generated by the chirped pulse light generation module to the semiconductor chip module and coupling the pulse light reflected by the semiconductor chip module into a phase extraction module, the phase extraction module, a spectral filtering frame reading module for imaging the linear chirped light intensity space-time distribution signal output by the phase extraction module into the data acquisition module, the data acquisition module and an image processing module for processing the image output by the data acquisition module.

The present invention belongs to the field of radar detection technology, and in particular, relates to a laser radar device and a robot. Among them, the laser radar device includes: a platform; a turntable, which is rotatably mounted on the platform; a power mechanism, which is mounted on the platform, and the power mechanism drives the turntable to rotate; a laser structure, which is mounted on the turntable, and the laser structure emits laser light to illuminate the object to be detected; a filter structure, which is mounted on the platform, and the filter structure performs spectral filtering on the laser reflected from the object to be detected; a photosensitive chip, which is mounted on the turntable, and the photosensitive chip receives the reflected light filtered by the filter structure. The technical solution of the embodiment of the present invention solves the problem that the current laser radar cannot scan and detect the color of the surface of the object to be detected, resulting in poor layering of the image obtained by scanning and detection.

Provided is a portable biosensor that includes a sample filter cartridge, a filter collector, an optical sphere, an electromagnetic radiation emitter, a photo-detector, a processor, a signal display, a vacuum pump, and a power supply. The sample filter cartridge selectively removes small molecules to minimize spectral interference in the detection signal. The sample is concentrated onto the filter collector and subjected to illumination by the electromagnetic radiation emitter, producing Raman-scattering. The optical sphere collects and distributes the Raman-scattering shifts, which then pass through a spectral filter to produce spectral filtered scattering, which is then reflected by the concave holographic flat-field grating onto the photo-detector. The data is displayed graphically to provide the Raman-scattering shift data. The data is compared with a database for sample identification. The device is contained within a housing that is small enough to be easily transported for field use.

In certain embodiments, an ophthalmic surgical system for viewing an eye includes an ophthalmic microscope and a laser device. The ophthalmic microscope receives light reflected or scattered backwards from within the vitreous of the eye in order to provide an image of an object within the vitreous. The ophthalmic microscope includes a slit illumination source (which includes a light source and an optical element), a spectral filter, and oculars. The slit illumination source illuminates the eye with light, where the light source provides the light, and the optical element directs the light into the eye. The spectral filter filters out red spectral components of the light. The oculars receive the light from the eye in order to provide the image of the object. The laser device generates a laser beam to direct towards the object within the eye.