106 results about "Spectral imaging" patented technology

The utility model belongs to the field of spectral imaging, provide a kind of split type rotating structure plant spectral imaging system, including main body frame, the upper crossbeam of main body frame top fixed mounting, the middle crossbeam of main body frame middle part fixed mounting, the lower crossbeam of main body frame bottom fixed mounting, several light sources are installed on middle crossbeam, the side fixed mounting of upper crossbeam is equipped with camera fixed support, detection camera is installed on camera fixed support, the inside of main body frame bottom is equipped with sliding plate, detection object placement subassembly is fixedly installed at the middle position of sliding plate top, the side fixed mounting of sliding plate top is equipped with electric cabinet;The utility model has simple structure, manufacture easily, cheap, easy to pack, transport and carry, firm and durable, easy maintenance and other characteristics, light source and sample placement position are more flexible, applicable to various optical cameras and spectral imaging instrument, such as the surface imaging spectral camera of various wave bands, line scanning spectral imaging instrument, single-point spectral spectrometer, Raman spectrometer etc.

This invention discloses a coaxial telecentric polarization hyperspectral imaging device and a biological tissue detection system. The device includes: a light source emitting unpolarized light; a circular polarization generator converting the unpolarized light emitted by the light source into circularly polarized light; the circularly polarized light being coupled into a coaxial telecentric lens via a coaxial optical interface; the coaxial telecentric lens reflecting the circularly polarized light, which then illuminates the target object plane; the signal reflected from the target object re-enters the coaxial telecentric lens and is transmitted to a polarization analyzer module via a beam splitter. The polarization analyzer module includes a first waveplate and a first linear polarizer. The first waveplate receives the signal transmitted from the beam splitter and transmits the signal to the first linear polarizer. The first linear polarizer sends the output light to a hyperspectral camera, and the hyperspectral camera sends the output image to a computer for image analysis.

This invention discloses a portable multi-parameter water quality detection system based on an improved CT spectral structure, comprising an improved CT spectral structure, an S11639-01 CMOS image sensor, an RK3588 embedded platform, and a water quality parameter analysis module. The water sample to be tested is transmitted to form outgoing light carrying water quality characteristic information. The improved CT spectral structure collimates, disperses, converges, and corrects the image plane of the outgoing light, enabling the 200–1000 nm band line spectrum to be imaged within the effective pixel area of ​​the sensor. The sensor acquires raw spectral data and transmits it to the RK3588 for caching and processing. The system establishes a pixel-wavelength cubic polynomial mapping relationship based on the peak pixel position of the standard wavelength point, and completes intensity calibration through dark field subtraction, reference spectrum normalization, and response compensation to obtain corrected one-dimensional spectral data. This data is input into the water quality parameter analysis module, which outputs multiple detection results including COD, turbidity, SS, TN, and TP. This invention features a versatile structure and high integration, making it suitable for rapid on-site water quality detection and environmental monitoring.

A calibration method for a visualization system (1) is provided in order to improve the accuracy and reliability of subsequent subspectral image processing which can be used, for example, to obtain not only more broadband imaging but also additional image information which in turn is obtained exclusively from light which is in a subspectrum (2), wherein the subspectrum (2) is part of a spectrally broader total spectrum (3) used overall for imaging. The method provides for respective subspectral correction data (11) to be captured for individual wavelengths from the subspectrum (2) and stored in a memory (10), so that these correction data (11) can be taken into account in the subsequent subspectral imaging by the visualization system (1).

This application relates to a method and system for detecting wafer parameters. The detection method includes providing multi-wavelength sequential illumination; modulating the illumination light into multi-step phase-shifting structured light using a spatial light modulator and projecting it onto the wafer surface; acquiring the multi-step phase-shifting structured light reflected from the wafer surface using a broadband imaging unit to obtain a structured light image sequence, ensuring consistent pixel positions in the images under multi-wavelength sequential illumination; synchronously controlling the timing of wavelength switching of the illumination light, structured light modulation, and image acquisition to obtain a multi-wavelength structured light image sequence; performing multi-spectral film thickness inversion on the multi-wavelength structured light image sequence to obtain a film thickness distribution map; and performing multi-wavelength phase fusion three-dimensional reconstruction on the multi-wavelength structured light image sequence to obtain three-dimensional topography data. The detection system includes an illumination module, a spatial light modulator, a broadband imaging unit, and a data processing module. This invention can acquire the three-dimensional topography and surface film thickness of wafers, and is also suitable for topography detection of etching trenches with aspect ratios.

Abstract Apparatus and methods are presented for spectral domain optical imaging, in particular for single shot 3-D spectral domain imaging of the retina of the human eye. In certain embodiments one or more 3-D images across elongated areas of an object are acquired, with scanning perpendicular to the long axis of the elongated areas for imaging extended volumes of 5 the object. In preferred embodiments the captured light is sampled in the Fourier plane, in a dimension substantially perpendicular to the long axis, with a cylindrical lenslet array, while in other embodiments the captured light is sampled in the image plane. Apparatus and methods are also presented for hyperspectral imaging of the retina, with the illuminating beams preferably angled to suppress interference from corneal reflections. Apparatus and methods are 10 also presented for multi-wavelength wavefront sensing, with simultaneous capture of light in two or more paths with different delays. 5 1020 26 20 47 51 19 J un 2 02 6 A b s t r a c t 1 9 J u n 2 0 2 6 5 2 0 2 6 2 0 4 7 5 1 1 0

The application provides a snapshot spectral imaging chip structure based on line array interference films and a design method. The spectral imaging chip structure comprises an image sensor and a plurality of periodic structures arranged repeatedly along a one-dimensional direction on a photosensitive surface of the image sensor, and each periodic structure comprises a plurality of different line array interference films. The snapshot spectral imaging chip structure of the application acquires light information of a target scene in one-time exposure, has less redundant information, is suitable for different application scenarios, is simple to process and low in cost.

This utility model discloses a broadband imaging lens, comprising a lens group disposed inside the lens barrel. The lens group, arranged sequentially along the optical axis from the object plane to the image plane, includes a first lens, a second lens, a third lens, a fourth lens, a fifth lens, and a sixth lens, all of which are positive diopter glass spherical lenses. The first lens has a convex object-side surface and a concave image-side surface; the second lens has a convex object-side surface and a concave image-side surface; the third lens has a convex object-side surface and a concave image-side surface; the fourth lens has a convex object-side surface and a concave image-side surface; and the fifth lens has a convex object-side surface and a convex image-side surface. This broadband imaging lens has an EFL of 50mm, a spectral range of 400–1000nm, weighs less than 100 grams, has a center MTF of 32lp / mm > 0.5, and an edge MTF of 32lp / mm > 0.3. It exhibits high image quality, small size, low cost, and the lens head is also waterproof and dustproof.

This application provides a method and system for early warning of overheating hazards in electrical equipment based on UAV multispectral imaging, belonging to the field of power equipment condition monitoring technology. This application first acquires ultraviolet photon and spatial point cloud data collected by a UAV. A three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. Combining photon data and electric field information, the discharge charge quantity and distribution are obtained through spatial inversion correction. Then, the discharge current density is calculated using an energy dissipation model, and the discharge heat power loss density is determined by combining the local electric field. Finally, the steady-state heat conduction equation is solved based on heat conduction parameters to calculate the temperature field distribution under thermal equilibrium. When the steady-state temperature exceeds the heat resistance threshold, an early warning message is generated. This application achieves early and accurate prediction and location of hidden overheating faults in electrical equipment caused by insulation degradation.

This invention discloses a multi-channel spectral imaging system and method, belonging to the field of spectral imaging technology. The system includes an array optical imaging lens, an array multi-channel spectral sampling filter, an array color camera, and a spectral processing circuit module. This system enables solid-state snapshot imaging without moving parts, featuring a compact structure, high stability, and suitability for dynamic scenes, vehicle-mounted / airborne, and other complex operating conditions. The method of this invention completes multi-channel spectral imaging by constructing a measurement matrix, acquiring and converting target image signals, establishing the correlation between spectral signals and acquired signals, sparse representation and optimization solutions, super-resolution reconstruction, and data cube construction. It exhibits excellent reconstruction accuracy and noise resistance, and can flexibly expand the array size to adapt to the spectral coverage requirements of different application scenarios.

The present application relates to the technical field of spectral imaging detection, and particularly relates to a cross-bar anode photon counting imaging detector splicing system and a splicing method, which respectively cover ultraviolet, visible and near-infrared bands, each detector unit comprises a vacuum sealed tube composed of a glass window coated with a photocathode, a cylindrical micro-channel plate stack, a resistance anode and a cross-bar anode, and a position reading circuit, wherein the curvature radius of the cylindrical MCP stack is matched with the focal plane curvature radius of the Rowland circle spectrometer to improve the spectral resolution. Four detector units are connected in one-to-one correspondence to form a long strip electrode array in the direction perpendicular to the spectral imaging direction, and the position reading circuit is used for processing charge pulses to determine the electron cloud centroid position. The curvature radius of the cross-bar anode single-photon imaging detector unit can be matched with the curvature radius of the cylindrical focal plane of the Rowland circle spectrometer, the spectral resolution of the spectrometer is improved, and continuous imaging of a wide spectral band of 115 nm to 900 nm is realized.

The application provides a physical constraint-based illumination adaptive spectral reflectance reconstruction system, an illumination adaptive spectral reflectance reconstruction framework (I-SRR) based on no known illumination, auxiliary hardware or multiple captures, which can accurately recover intrinsic spectral reflectance of a material from a single RGB image; a spectral imaging physical model is embedded into a deep unfolding framework, a differentiable optimization structure is constructed based on an alternating direction multiplier method (ADMM), a spectral formation and recovery process is implicitly integrated, a physically guided end-to-end learning is realized through deep unfolding optimization based on physical constraints; the application can realize robust reflectance recovery under unknown or complex illumination conditions, adaptively adjust features through a learned compensation mechanism, maintain consistent reconstruction accuracy in different color temperatures (4000K-11200K) and indoor and outdoor scenes, and realize robust reconstruction under dynamic illumination conditions.

The application provides a fabric color difference grade determination method based on multi-dimensional spectral analysis, and belongs to the technical field of intelligent textile detection. The method comprises the following steps: acquiring a three-dimensional spectral data cube of a sock band under an integrating sphere diffuse light source environment by using a spectral imaging acquisition system, and converting an original image into spectral reflectance data through black and white board radiation correction; identifying a joint position by using the spectral response difference between the joint and the sock band, completing automatic segmentation of the sock band image, and acquiring effective detection areas of each segment; in combination with OCR-recognized character information, eliminating surface defects by using a deep learning target detection algorithm for a single sock band; separating texture shadows and background noise by using hyperspectral unmixing, and extracting pure spectra representing the true color of the sock band; and mapping the pure spectra to a CIELAB color space to calculate color differences and determine grades. The application realizes the intelligentization and objective evaluation of the sock band determination method by using spectral imaging and intelligent recognition technology.

An alternating image shift compensation system and method for airborne spectral imaging, relating to the field of optical remote sensing technology, is disclosed. The system includes an interferometer, an imaging mirror, a first tilting mirror, a second tilting mirror, an optical path switching device, a detector, and a control unit. The first and second tilting mirrors are positioned in the image-side optical path after the imaging mirror and before the detector. The control unit coordinates and controls the alternating operation of the first and second tilting mirrors, ensuring that during any staring cycle, while one mirror performs image shift compensation, the other mirror completes its reset motion. At the end of the staring cycle, the optical path switching device switches the beam to the reset mirror to continue image shift compensation. This method achieves continuous execution of the mirror shift compensation process, reduces the impact of the reset process on spectral data acquisition, and improves the continuity of airborne spectral imaging data.

Embodiments of the present application relate to the field of analyzing materials by optical means, and particularly to a method for determining hyperspectral images of a core half-cylinder. The method provided by the embodiments of the present application calibrates a spectral imaging device and a depth imaging device, and associates the depth values and spectral pixel data obtained by the two imaging devices, so as to determine the accurate transformation relationship between the three-dimensional coordinates obtained by the depth imaging device and the two-dimensional pixel coordinates obtained by the spectral imaging device, to realize spatial registration and fusion of core data collected by different devices, and to facilitate subsequent unified analysis of various core data. The real-time collection of hyperspectral data and depth data of the core half-cylinder by the two imaging devices can provide a reference for core curved surface identification and scanning area positioning, and can also assist in the correction of reflectivity data of the core half-cylinder, reduce the reflectivity calculation error, and help to obtain more accurate hyperspectral images of the core half-cylinder.

This invention relates to the fields of aerospace remote sensing and satellite overall design technology, and particularly to a method for analyzing spectral aliasing caused by flywheel micro-vibration in hyperspectral imagers. The method involves acquiring flywheel operating parameters and satellite structural dynamics parameters, calculating the time series of line-of-sight jitter displacement caused by flywheel micro-vibration, acquiring a standard hyperspectral data cube of the target scene, performing a dynamic spectral sampling process using the line-of-sight jitter displacement time series, continuously integrating the data cube by simulating the instantaneous line-of-sight motion trajectory of the imager, and outputting a hyperspectral image affected by micro-vibration. The method also involves extracting the spectral curves of the pixels to be evaluated and the ideal spectral curve, and calculating the spectral aliasing error index. This invention quantifies the impact of micro-vibration on spectral dimensions by constructing a complete analytical chain of flywheel disturbance, structural transmission, and dynamic sampling, solving the problem of the lack of quantitative analysis of spectral aliasing in existing technologies, and significantly improving the reliability of hyperspectral remote sensing data in agricultural crop classification and growth monitoring.

The application relates to the technical field of coal gangue recognition and intelligent sorting, and discloses a coal gangue recognition method based on high-speed computing spectral imaging. In the coal gangue recognition process of high-speed computing spectral imaging, the recognition result of coal and the recognition result of gangue are affected by slow drift of an imaging chain, and the boundary of the two recognition results is unstable. A progressive processing chain composed of a fixed diffuse reflection reference bar, a coal-gangue discrimination axis, a normalized discrimination axis, a running period discrimination drift coefficient and a drift constraint recognition score is constructed. The running period discrimination drift coefficient is extracted in a unified discrimination description space, and the target discrimination description vector is compensated for drift along the normalized discrimination axis according to the running period discrimination drift coefficient. In combination with a drift effectiveness marker, a coal recognition result, a gangue recognition result or a conservative sorting result is output. The method can effectively inhibit the interference of illumination fluctuation, channel drift and local observation anomaly on sorting determination, and improve the stability, accuracy and engineering applicability of coal-gangue recognition under high-speed running conditions.

The application discloses a product detection method and system based on machine vision, and relates to the technical field of machine vision, which comprises the following steps: initializing an ambient light sensor to evaluate initial light conditions and dynamically adjusting light source parameters to verify and lock optimal settings; selecting a preset wavelength range according to the characteristics of building materials to configure a spectral imaging system to collect image data, obtaining comprehensive spectral images through preliminary processing and image synthesis, and obtaining a high-quality image data set through feature extraction; deploying a deep learning model on an edge device to perform preliminary defect detection after preprocessing the image data set, identifying defect types, and extracting local and frequency domain features; and transmitting the final classification results and image data to the cloud for detection according to the preliminary detection results using a classification algorithm. The application realizes high-precision and high-efficiency product defect detection.

This application discloses a hyperspectral imaging device based on focal plane modulation, relating to the field of hyperspectral imaging. The target object is positioned on the side of the front imaging system away from the micromirror array. The target object is imaged onto the surface of the micromirror array by the front imaging system. The micromirror array is controlled by scanning to sequentially perform focal plane modulation on the target object, obtaining each row of reflected light, which is then irradiated by a relay imaging system. The relay imaging system includes a filter array, comprising filters arranged sequentially. The number of columns of the filters is the same as the number of columns of the micromirror units. Each row of reflected light undergoes spectral dispersion by the relay imaging system to obtain multiple frames of images. The controller is used to stitch together the multiple frames of spectral images to obtain hyperspectral data. This application does not rely on the fabrication precision of the micromirror array, while simultaneously improving both spatial and spectral resolution.

This invention discloses a full-surface stealth anti-counterfeiting method and system based on a three-dimensional feature array, belonging to the field of stealth anti-counterfeiting technology. The invention acquires spectral images of the entire surface of an item using a spectral imaging device, identifies and extracts distributed feature points to form an original feature point set; clusters these feature points based on their spectral similarity to generate a feature map containing spatial data and spectral cluster information; encodes the spatial data and spectral clusters in the feature map into an original fingerprint, binds it to the item's production traceability information, and stores it in a database; during verification, images of a local area of ​​the item are acquired, a local feature map is extracted, and iterative spatial registration aligns the local feature map with the corresponding global feature map in the database. The number of matching points and geometric consistency score are analyzed, and authenticity is determined based on a dynamic threshold, outputting production traceability information. This reduces storage space and improves the efficiency of the verification process.

Offset illumination using multiple emitters in a hyperspectral imaging system is described. The system includes an emitter to emit pulses of electromagnetic radiation and an image sensor including an array of pixels to sense reflected electromagnetic radiation. The emitter includes a first emitter and a second emitter to emit electromagnetic radiation of different wavelengths. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter includes electromagnetic radiation having a wavelength of about 513 nm to about 545 nm, about 565 nm to about 585 nm, and / or about 900 nm to about 1000 nm.

The application discloses a polaroid defective product identification method and system based on machine vision, and relates to the fields of polaroid detection and machine vision technology; the application collects polaroid multi-band images through multi-spectral imaging and corrects registration, completes background separation through gray scale normalization, filtering, morphological operation and inflation corrosion reconstruction, adopts a partition adaptive contrast enhancement strategy to strengthen low-contrast defects and fuse multi-band images, extracts multi-dimensional feature vectors in multiple scales, matches and grades defects according to a preset defect type feature library, and generates a defective product identification report containing defect information; the application effectively solves the problem of low recognition rate of polaroid morphological changes and low-contrast defects, and significantly improves the accuracy, stability and detection efficiency of defect identification.

The application discloses a hyperspectral image imaging method, device, system and storage medium, belonging to the technical field of spectral imaging. The hyperspectral image imaging method performs spectral downsampling on a hyperspectral image and spatial downsampling on a multispectral image. Then, a second multispectral image is input into a spectral knowledge extraction model for spectral knowledge decoupling extraction, and a first multispectral image is input into a spatial knowledge extraction model for spatial knowledge decoupling extraction. Further, the hyperspectral image and the multispectral image are input into a spatial knowledge transfer model and a spectral knowledge transfer model correspondingly, so as to realize projection of spectral knowledge to a high spatial resolution domain and injection of spatial knowledge to a hyperspectral domain. Finally, the two kinds of hyperspectral images are reconstructed in complementary fusion. The application overcomes the feature interaction difficulty problem caused by large difference between spatial and spectral modalities in a traditional direct fusion method, and finally obtains high-quality imaging with high spatial definition and high spectral fidelity.

The application discloses a wide-spectrum lens for ultraviolet to visible light bands, which comprises first to eighth lenses arranged in sequence along the light path propagation direction, wherein the first and second lenses are glued together to form a glued lens, and the fifth and sixth lenses are glued together to form a glued lens; the third lens is a negative double-concave thick lens; the first, fourth, fifth and seventh lenses are double-convex positive lenses; and the second, sixth and eighth lenses are negative double-concave thin lenses. The wide-spectrum chromatic aberration, on-axis and off-axis aberration of the lens are well balanced, the optical transfer function of the system is improved, the imaging quality is high, and the actual use requirements of the wide-spectrum imaging from ultraviolet to visible light are met.

The application relates to a fabric color difference online detection system based on multispectral imaging and a convolutional neural network, which comprises a multispectral imaging module, an image preprocessing and illumination correction module, a CNN color difference intelligent identification and calculation module and a feedback control and execution module. A high-precision spectral calibration unit is first set, multispectral imaging module is used to collect multi-channel image data of the fabric under visible light and near-infrared wave bands, the image data is processed, a lightweight convolutional neural network embedded with an attention mechanism is adopted to extract features and identify color difference regions of the preprocessed image, the CNN model adopts a deformable convolution kernel to adapt to the texture direction of different fabrics, the identified color difference grade and position information are fed back to a dyeing machine control system in real time, and process parameters are adjusted. The application solves the problems of low recognition accuracy and poor real-time performance of traditional manual visual detection and existing machine vision methods under complex textures and illumination changes.

The embodiment of the present application provides an infrared thermoelectric spectral imaging system and an infrared imaging method, and the system comprises: an imaging lens and a thermoelectric detector, the thermoelectric detector comprises: an infrared window, a filter film, a modulation structure and a detector array, the imaging lens, the infrared window and the detector array are sequentially arranged along the optical axis direction of the imaging lens, the filter film is attached to the infrared window, and the modulation structure is located between the infrared window and the detector array. By arranging the filter film on the infrared window and arranging the modulation structure between the infrared window and the detector array, the detection performance of the thermoelectric detector is improved without changing the structure of the current thermoelectric detector, and high-precision measurement of the spectrum of the incident light from the outside world is realized.

This invention provides a multimodal microscopic imaging integrated detection system, relating to the field of microscopic optical detection technology. It includes a bright-field microscopic imaging module sharing a tissue section sampling optical path assembly, and at least two of three modules: a polarized light microscopic imaging module, a fluorescence microscopic imaging module, and a micro-Raman spectroscopy detection module. The bright-field, polarized light, and fluorescence microscopic imaging modules share an imaging optical path assembly. The micro-Raman spectroscopy detection module includes a Raman spectrometer and a laser for irradiating tissue sections to excite Raman scattering light. The beneficial effect of this invention is that, based on bright-field microscopic imaging, it introduces multiple characteristic imaging or spectroscopic technologies such as polarized light imaging, fluorescence imaging, and Raman spectroscopy. Through multimodal information complementarity, it enriches the differential information between cancerous tissues and normal, inflammatory lesions, etc., significantly improving the speed and efficiency of pathological examination and enabling rapid and accurate intraoperative cancer diagnosis.