40 results about "Full spectral imaging" patented technology

A multispectral X-ray imaging system uses a wideband source and filtration assembly to select for M sets of spectral data. Spectral characteristics may be dynamically adjusted in synchrony with scan excursions where an X-ray source, detector array, or body may be moved relative to one another in acquiring T sets of measurement data. The system may be used in projection imaging and/or CT imaging. Processed image data, such as a CT reconstructed image, may be decomposed onto basis functions for analytical processing of multispectral image data to facilitate computer assisted diagnostics. The system may perform this diagnostic function in medical applications and/or security applications.

A method for spatial registration and spectral correction for interferometer based spectral imaging which can be used to obtain spectral images of a moving object, the method comprising the steps of (a) using an interferometer based spectral imager for acquiring spatial and spectral information of the moving object; and (b) correcting the spatial and spectral information for movements of the moving object via a spatial registration and spectral correction procedures for obtaining corrected spatial and spectral information.

The present invention enables snap-shot spectral imaging of a scene at high image generation rates. Light from the scene is processed through an optical system that comprises a coded-aperture. The optical system projects a plurality of images, each characterized by only one of a plurality of spectral components, onto a photodetector array. The plurality of images is interspersed on the photodetector array, but no photodetector receives light characterized by more than one of the plurality of spectral components. As a result, computation of the spatio-spectral datacube that describes the scene is simplified. The present invention, therefore, enables rapid spectral imaging of the scene.

The invention discloses a multi-spectral imaging system and a multi-spectral imaging method based on double cameras. The system comprises a system supporting module, a light source module, an optical signal acquiring module and a computer module, wherein the system supporting module is used for supporting and connecting various components; the light source module is used for providing infrared light and visible light; the optical signal acquiring module is used for acquiring fluorescent light and visible light images; and the computer module is used for controlling the optical signal acquiring module to acquire images, processing the acquired images and displaying the processed images. Light which passes through a lens is divided into two parts by an optical beam splitter prism, the two parts of light are simultaneously acquired by the two charged coupled device (CCD) cameras in real time, problems in the prior art are solved effectively, the technological monopoly of foreign companies in China is broken, the barrier of multi-spectral video imaging research is lowered, the selectable space for optical molecular image probes is expanded, and the optical molecular image research and application range is also expanded.

Several full-spectrum imaging techniques have been introduced in recent years that promise to provide rapid and comprehensive chemical characterization of complex samples. One of the remaining obstacles to adopting these techniques for routine use is the difficulty of reducing the vast quantities of raw spectral data to meaningful chemical information. Multivariate factor analysis techniques, such as Principal Component Analysis and Alternating Least Squares-based Multivariate Curve Resolution, have proven effective for extracting the essential chemical information from high dimensional spectral image data sets into a limited number of components that describe the spectral characteristics and spatial distributions of the chemical species comprising the sample. There are many cases, however, in which those constraints are not effective and where alternative approaches may provide new analytical insights.

For many cases of practical importance, imaged samples are “simple” in the sense that they consist of relatively discrete chemical phases. That is, at any given location, only one or a few of the chemical species comprising the entire sample have non-zero concentrations. The methods of spectral image analysis of the present invention exploit this simplicity in the spatial domain to make the resulting factor models more realistic. Therefore, more physically accurate and interpretable spectral and abundance components can be extracted from spectral images that have spatially simple structure.

The invention discloses an intelligent identification method and a system for multi-spectral imaging. The method comprises: presetting imaging response spectra greater than or equal to two different wavelengths in an imaging device, enabling the imaging device to photograph a target imaging region, thereby obtaining spectral segment images of a plurality of spectral intervals of the target imagingregion; combining with the preset spectral feature information of the target object to segment the spectral segment image by using the multi-spectral imaging fusion algorithm model, using artificialintelligence or machine learning algorithm to process the spectral images of multiple spectral intervals, realizing the feature enhancement and feature fusion of the spectral images of multiple spectral intervals, and using the preset discriminant strategy to select the image which is consistent with the information in the discriminant strategy as the recognition image. The invention obtains moreinformation by using multi-spectral images, thereby improving the efficiency and accuracy of target recognition.

The invention discloses a high-quality imaging method of a spectral imaging system based on a convolutional neural network, and belongs to the field of computational photography. According to the invention, the hyperspectral image imaging process and the reconstruction process are considered together; in the reconstruction process, the spatial correlation and the spectral correlation between images are respectively considered, the residual error learning is used to accelerate the training speed and convergence speed of the network, the coding network is optimized while the network is reconstructed, and a GPU is used to complete the optimization solution of the whole network. A cuDNN library is used to accelerate the operation speed of the network. The method comprises updating network parameters by using a random gradient descent method; and performing block-by-block processing to complete reconstruction of the hyperspectral image. According to the method, the hyperspectral image reconstruction of the CASI spectral imaging system can be completed with high quality, the high spatial resolution and high spectral fidelity of a reconstruction result are ensured, meanwhile, the efficiency of hyperspectral image reconstruction is improved, and the application range of hyperspectral images is expanded. The method can be used in the fields of manned spaceflight, geological survey, agricultural production, biomedicine and the like.

Provided is a spectral imaging system with high space and spectral resolution based on a global shutter mode, relating to a spectral imaging system based on a global HDR mode and solving the problem that a conventional spectral imaging system has low spectral energy and low signal-to-noise ratio in the application of high space and spectral resolution. The system comprises an optical system, an area array CMOS image sensor based on the HDR working mode, an imaging controller and an external memory; the optical system receives external spectral information and performs imaging on the area arrayCMOS image sensor based on the HDR working mode; the imaging controller controls the area array CMOS image sensor based on the HDR working mode to output a high-gain channel spectrum image and a low-gain channel spectrum image, and the high-gain channel spectrum image and the low-gain channel spectrum image are sent to the external memory to be subjected to off-chip CDS and HDR processing, and then a spectrum image is output. According to the invention, the high-frame-frequency requirements of high space and spectral resolution are met; under the same frame frequency, the power consumption ofthe CMOS image sensor is lower, and the size and the weight are smaller.

The invention discloses a mini infrared imaging spectrometer which comprises a slit scanning infrared spectral imaging system and an electrical assembly. The slit scanning infrared spectral imaging system comprises a prepositioned optical system, a slit, a spectral dispersion system, a digital microlens array and a spectrum reconstruction system. The electrical assembly comprises an infrared detector, a microlens coding and decoding system, a slit motion control system and an image processing system. An imaging method of the spectrometer is also disclosed. According to the invention, the compact prepositioned optical system realizes focusing of infrared radiation energy of an object scene; an accurate slit scanning technology is used to scan the view field of each line of the scene, so that imaging is carried out via one narrowband in the scene each time; a spectral scattering system, the digital microlens array, the spectrum reconstruction system and the infrared detector are used to realize spectral imaging of the line view field; and the resolution is high, the structure is compact, the reliability is high, the cost is relatively low and the application range is wide.

The invention relates to a large view field staring type spectral imaging system and an imaging method thereof. A prepositioned object lens and a spectral imaging system of the large view field staring type spectral imaging system are in optical structures which mix refraction and reflection or diffraction and the prepositioned object lens combines gradation dividing and aperture dividing. The imaging method of the large view field staring type spectral imaging system comprises that the prepositioned object lens obtains a two-dimensional middle image with the uniform imaging performance from a huge view field; a multi-view-field, high performance and full-wave-band space image obtained through a multi-aperture sub-view-field and the further aberration fine correction is served as a target object of a follow-up spectral imaging system; aperture channels obtain images which are corresponding to spectrums inside the view field after dispersion light splitting and focus imaging which are performed through the spectral imaging system; images of spectrums in the full view field are obtained after fuse splicing. The large view field staring type spectral imaging system has the advantages of solving the problem that the time is inconsistent due to the fact that the spectral images are obtained through a traditional push and sweep mode and being large in view field, compact in structure, good in spectral imaging quality, strong in light concentrating capability, high in spectral resolution and applicable to aviation and spaceflight hyperspectral remote sensing imaging.

The invention relates to a miniature spectral imaging system and imaging method, and relates to the technical field of photoelectric imaging, solving the problems that in the current high spectral imaging technology of CMOS, the spatial resolution of the target is reduced when the signal to noise ratio is improved. The miniature spectral imaging system includes a lens, a beam splitting element andimaging system electronics, wherein the incident light is projected to the beam splitting element through focusing of the lens, and after the incident light passes by the beam splitting element, theincident light is divided into n narrow spectral bands; and the imaging system electronics can receive the light from the n spectral bands and convert the light into electric signals. The imaging method includes two processes: quick calibration of spectrum position and high spectral imaging. The calibration process is used for quickly calibrating the projection positions of the n wave length spectrums on the focal plane of the sensor after assembling of the imaging system is completed, and then the imaging system performs high spectral imaging according to the calibration result after calibration is over. The miniature spectral imaging system and imaging method use the CMOS image sensor with a function of opening multiple windows in the row direction, thus being low in power consumption, being low in cost and being high in the system integration level so as to satisfy the demand for light and miniaturization development of high spectral imaging.

The invention discloses a spectral imaging system based on dispersion fuzziness, and a spectral reconstruction method of the spectral imaging system. The specific optical path of the spectral imagingsystem is that the light from a scene sequentially passes through a filter and an objective lens, and is divided into two ways: one way is directly collected by a first sensor, and a clear image is obtained; the other way sequentially passes through a focusing lens, a mask, a collimating mirror and a dispersing prism, and then is collected by a second sensor, and a fuzzy image is obtained. The mask is of an edge blocking type, and is used for carrying out the simple modulation of the fuzzy image, so as to obtain the edge information of the fuzzy image. The system can greatly reduce the calibration complexity, and improves the light transmission quantity, the signal-to-noise ratio and the spatial resolution of the system. The method for spectrum reconstruction through the imaging system canachieve the solving of the full-spatial-resolution spectrum information according to a series of constrain conditions, can achieve the real-time obtaining of the spectrum information of a dynamic scene in principle, and does not need to sacrifice the time and spatial resolution.

The invention provides a spectral imaging analysis system and an imaging analysis method thereof. The spectral imaging analysis system comprises an imaging lens array, a light calculation chip and animage sensor, wherein the imaging lens array acquires an original image of a to-be-detected target; the light calculation chip comprises a polarizer, a liquid crystal phase delayer array and a polarization analyzer; the light calculation chip is subjected to polarization treatment by the polarizer and then subjected to interference treatment by the liquid crystal phase delayer array to obtain an incident spectrum and generate a group of fundamental frequency and harmonic waves; the liquid crystal phase delayer array constructs a spectrum regression function of the incident spectrum according to the fundamental frequency and the harmonic waves; polarization interference state information of the incident spectrum is detected by the polarization analyzer; the image sensor generates a group ofspectrum image sequences containing space information and the polarization interference state information; and physical and chemical quantity information of a substance of the incident spectrum is calculated according to the spectrum regression function. Compared with the prior art, the spectral imaging analysis system and the imaging analysis method thereof have the advantage that real-time full-spectrum imaging and spectral analysis of a dynamic target are realized.

The invention discloses an on-board multi-spectral hyper-spectral earth observation device. A hyper-spectral multi-spectral imaging unit is used for obtaining a ground hyper-spectral multi-spectral image, the position posture information of each frame of image is recorded and stored through second pulse signals sent by an inertial navigation unit to an image storage unit in a time service way, so that the off-line processing of later-period data is convenient; a host computer unit is in charge of the alignment of an inertial measurement unit, the parameter setting and the image collection of a multi-spectral imaging and hyper-spectral imaging unit and the off-line correction work of the image; a vibration reduction unit reduces the influence of vibration on the obtained image. The device provided by the invention overcomes the defects that a traditional device can only use one kind of multi-spectral or hyper-spectral equipment for image information obtaining, and no reference is realized during correction. The device can meet the dynamic monitoring requirements of a plurality of side surfaces including the pasture condition monitoring and change detection, ecological environment and ecological disaster monitoring, digital cities, aquatic environment integration and the like, and can also meet the requirements on ingredient contents, existence state, space distribution and dynamic change of a sample.

An imaging system includes radiation source (106) that emits radiation that traverses an examination region and a portion of a subject therein and a detector array (114) that detects radiation that traverses the examination region and the portion of the subject therein and generates a signal indicative thereof. A volume scan parameter recommender (120) recommends at least one spectral scan parameter value for a volume scan of the portion of the subject based on a spectral decomposition of first and second 2D projections acquired by the radiation source and detector array. The first and second 2D projections have different spectral characteristics. A console (122) employs the recommended at least one spectral scan parameter value to perform the volume scan of the portion of the subject.

The invention provides a method for eliminating atmosphere turbulence by utilizing a random grating based compressed sensing broadband hyper-spectral imaging system. The method includes steps of acquiring a measurement matrix and sampling data of the random grating based compressed sensing broadband hyper-spectral imaging system; generating an atmosphere turbulence transmission matrix; generating a general measurement matrix; reconfiguring a multi-spectral image; judging whether the multi-spectral image meets multi-spectral features or not; modifying the atmosphere turbulence transmission matrix; generating a general measurement matrix; reconfiguring a multi-spectral image; judging whether the multi-spectral image meets multi-spectral features or not; and acquiring an image of which the atmosphere turbulence influence is eliminated. According to the invention, by utilizing a characteristic of high acquiring efficiency for broadband spectrum image information in single-process exposure of the random grating based compressed sensing broadband hyper-spectral imaging system and by utilizing a characteristic of different response of atmosphere turbulence in different spectrums at the same time, influence of the atmosphere is eliminated.

A method is provided to obtain a full range intrinsic spectral signature for spectroscopy and spectral imaging. The method eliminates the irrelevant spectral components and is used to normalize the spectral intensities across the full wavelength ranges obtained from different instrumentation. The method determines the intrinsic instrument noise levels and the noise level across the spectral range is averaged for each spectrum. By determining the percent of the integrated instrument noise relative to the integrated illumination energy for each instrument, the instrument noise can be normalized to one common value and the intensity values of the intrinsic sample spectra can be normalized proportionately and combined into a continuous intrinsic spectrum across the wavelength ranges of the contributing instruments. The methodology is also implemented in spectral imaging and spectral data cubes.

The invention discloses a compressed spectrum imaging system based on RGB channels, which mainly solves the problem of low reconstruction resolution of spectral images of conventional aliasing coding sampling. It includes a spectral image observation module (1) and an image reconstruction processing module (2). The spectral image observation module (1) includes: a beam splitter (11), which is used to split the incident beam of the spectral image into beams with the same information and different directions. The two-way beam of light; The compressed spectrum observation submodule (12), is used to obtain the observed image information after encoding; the RGB observation submodule (13), is used to obtain the RGB observation image of the spectral image; the image reconstruction processing module (2 ), the compressed coding observation and RGB observation results of the spectral image output by the spectral image observation module are simultaneously fused to complete the reconstruction of the spectral image and obtain the original spectral image. The invention has high reconstruction resolution and can be used for multispectral image acquisition in resource exploration, geological disaster detection and medical diagnosis.

The invention belongs to the technical field of an optical micro-instrument manufacturing technology and a spectral imaging technology and particularly relates to a space-time resolved spectral imaging system. The system comprises a pulsed laser light source system, a microscope system, an imaging module and an image processing module. The pulsed laser light source system emits pulsed laser lightbeams with wavelengths lambda 1 and lambda 2 changed alternately. The microscope system and the imaging module are arranged on an output light path of the pulsed laser light source system. The image processing module extracts images of the imaging module. Through calculating processing on image scattering light intensity, images of resonance wavelength of plasmas on the local surface of a target sample are acquired and space-time resolved spectral imaging is realized. The space-time resolved spectral imaging system can simultaneously detect resonance scattering wavelength of plasmas on the local surfaces of the multiple target samples, reduce spectrum temporal resolution to the millisecond level from the second level and significantly improve the spatial resolution.

This invention teaches how to fabricate a new type of full-spectra wavelength detector and spectrum analyzer in the form of antennas that make use of the wave properties of light. The detector's frequency detection range is controlled through the fabrication process. By miniaturizing the antenna detectors to the nanometer range and arranging them in an array a unique, full-spectrum imaging sensor is created.