12 results about "Polarized light imaging" patented technology

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

This invention discloses a seed germination radicle stress detection device and method based on the principle of polarized light. The seed germination radicle stress detection device includes a culture module, a polarized light imaging system, an adjustment and driving mechanism, and a data processing unit. The culture module includes a transparent culture chamber and a seed fixing support set inside the transparent culture chamber. The advantages of this invention are: utilizing the birefringence effect generated by light passing through the radicle sheath, continuous observation of the entire process from the initial germination to radicle breakthrough can be achieved without contacting or damaging the sample; by acquiring images through a multi-angle rotating analyzer and combining it with a phase delay algorithm, weak birefringence signals can be effectively extracted, realizing quantitative calculation and visualization of stress; the core components are general-purpose optical elements and imaging modules, with a simple structure, controllable cost, and easy to popularize in agricultural research and teaching.

The invention relates to a method and a system for measuring strain of an ice sample in a uniaxial compression test process by using a crystal texture digital image. The method comprises the following steps: preparing the ice sample: preparing the ice sample according to a predetermined direction of the uniaxial compression test; polarized light imaging arrangement: placing the ice sample between a chassis and a pressure plate of a uniaxial compression testing machine; a cold light source with adjustable brightness is arranged behind the ice sample, and a polaroid is arranged between the cold light source and the ice sample; arranging a high-speed camera in front of the ice sample and installing a polarized lens to receive polarized light passing through the ice sample; adjusting image quality: enabling the length direction of the ice sample to be along the loading direction of a tester and the thickness direction to be along the light path direction of polarized light; uniaxial compression test and synchronous acquisition; calculating a strain field: calculating a strain field and a deformation field of the surface of the ice sample according to a digital image correlation method based on the polarized light grayscale images of the ice sample at adjacent moments; and identifying crack propagation.

The invention discloses a welding turbid environment vision sharpening system and method based on circularly polarized light imaging. In the system, an active circularly polarized lighting module comprises a laser, a beam expander, a linear polarizer and a first quarter-wave plate which are connected in sequence; the polarized image acquisition module comprises a second quarter-wave plate, an analysis mirror and a camera which are connected in sequence; the active circular polarization illumination module is located at the position of a welding workpiece, and the polarization image acquisition module is located at the position of a welding gun; and the image processing and control unit controls the on-off of the active circular polarization illumination module and the image acquisition of the polarization image acquisition module, and performs image recovery. According to the invention, the lighting source is innovatively replaced by the circularly polarized light from the traditional linearly polarized light, and a set of self-adaptive image recovery algorithm is combined, so that the imaging problem of the vision of the welding robot in a turbid and high-reflection environment is successfully solved, and reliable visual perception guarantee is provided for realizing high-precision and intelligent welding operation.

The invention relates to the technical field of image recognition and intelligent detection, in particular to a hydraulic power plant transparent medium leakage recognition method based on polarized light imaging, and the method comprises the following steps: S1, carrying out the multi-angle shooting of a target region of a hydraulic power plant through a polarization camera, and outputting original image data; s2, carrying out preprocessing, and outputting an optimized polarization image; s3, extracting polarization characteristic parameters including a polarization angle and a polarization degree; s4, comparing with a historical data threshold value, and outputting an abnormal feature region; s5, segmenting a potential leakage region, and outputting a segmentation result; and S6, verification is carried out in combination with the environmental parameters, and a final leakage identification result is output. According to the method, high-precision identification and interference suppression of the transparent medium leakage area are realized by fusing polarization feature extraction and an environment response verification mechanism, and the stability and reliability of a detection result are improved.

This invention provides a semiconductor wafer stress distribution measurement system based on polarization imaging, applicable to chip design and process optimization. The system includes a polarization light source module, a wafer processing module, a multi-channel optical system, a polarization phase processing module, a data acquisition and processing module, and a result visualization module. Its core innovation lies in applying differential geometry theory to polarization phase information processing. A polarization state manifold construction unit maps polarization state parameters onto a Poincaré sphere and calculates the local metric tensor on the manifold. A stress-phase mapping unit calculates the connection coefficient and curvature tensor to determine the stress distribution. A multi-scale analysis unit constructs the scale space of the polarization state manifold, enabling seamless analysis of stress distribution from micro to macro scales. This significantly improves stress measurement accuracy and spatial resolution, allowing simultaneous analysis of stress distribution at the micrometer and millimeter scales.

The invention provides a complex amplitude imaging system based on a bifocal liquid crystal lens, and the system comprises a to-be-measured target complex amplitude light field which is located near a left-handed or right-handed circularly polarized light imaging object plane; the bifocal liquid crystal lens comprises a lens layer for providing a propagation phase required by lens imaging and a liquid crystal layer for providing a geometric phase required by left-handed and right-handed circularly polarized light separation; and the polarized photoelectric imaging unit is used for synchronously detecting polarized light intensity distribution along four different linear polarization directions on an image plane after imaging through the bifocus liquid crystal lens, and calculating polarization coding information containing a Stokes parameter based on the measured polarized light intensity distribution. On the basis, the invention further provides a complex amplitude reconstruction method based on the physical driving neural network, and complex amplitude reconstruction is achieved by substituting captured Stokes parameters and a forward physical imaging model into the neural network. According to the invention, the contradiction among the time resolution, the device simplicity and the reconstruction fidelity of the existing complex amplitude imaging system is solved.

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.

The invention relates to a doped TiO2 metasurface integrated optical system. The simulation modeling doping subsystem is used for realizing material directional design through preposed atomic-scale precise simulation, simulating and driving a modified titanium dioxide material to optimize a doping system, and outputting a refractive index dispersion curve and an extinction coefficient curve of a full visible light wave band; the metasurface integration subsystem selectively transmits a set phase incident ray in an original optical ray based on light polarization, and realizes the integration effect of multiple types of functions of polarization conversion, polarization selective reflection and aberration correction through three-dimensional parameter cooperation; dynamic compensation polarization crosstalk and phase deviation are complementary with static regulation and control, residual stray light is filtered, high-contrast vertical-direction linearly polarized light imaging is formed, and a complete optical system is formed; a system light path follows a light path complete process of polarization screening, integrated regulation and control, dynamic compensation and purification; the characteristics of high imaging quality and low loss are kept in a wide view field range; and the light path control precision and accuracy are improved.

The invention discloses a punch forming operation detection method and system based on industrial vision, and the method comprises the steps: triggering a polarized light source to irradiate the surface of a to-be-detected stamping part, and collecting an image of the to-be-detected stamping part at multiple angles through an industrial camera; carrying out image enhancement on the image by using a self-adaptive Retinex algorithm, and segmenting the enhanced image by using an Otsu dual-threshold method; carrying out morphological skeleton extraction on the segmented image, calculating an Hu invariant moment, and generating a feature vector containing seven dimensions; calculating a standard template; and based on the standard template, three-level matching strategy comparison is carried out, the stamping parts are sorted according to the comparison result, and the defect types of the unqualified stamping parts are recorded. Through polarized light imaging, morphological feature fusion and a dynamic compensation mechanism, stable detection without a neural network is realized.

The application discloses a super-long focal depth vector polarized light imaging system and method for minimum light flux depth imaging, and relates to the field of optical imaging. The system comprises a laser for emitting excitation light; a vector polarized light generator for converting the excitation light into vector polarized light; a phase modulation element for phase modulating the vector polarized light; an imaging module comprising a high numerical aperture objective lens and a silicon oil immersion objective lens for high-precision positioning of fluorescent molecules in biological tissues; and a detection module for receiving and detecting fluorescent signals emitted by the fluorescent molecules to realize positioning and imaging analysis of the fluorescent molecules. The application significantly expands the imaging focal depth through vector polarized light and phase modulation, and can realize high-resolution imaging in tissues with a depth of more than 1 micrometer.

The invention provides a high-precision river surface flow velocity measuring device fusing LSPIV and an optical flow method, which comprises an image acquisition module, a preprocessing module, an LSPIV velocity measuring unit, an optical flow method velocity measuring unit and a fusion output module, and is characterized in that the image acquisition module is used for acquiring continuous video frames of a river surface and comprises a multispectral imaging unit and a polarized light imaging unit; the polarized light imaging unit generates 0-degree, 45-degree, 90-degree and 135-degree polarized images through a four-angle cross-polarization splitting prism. According to the invention, through a multispectral and polarization imaging technology, interference of water surface reflection, low illumination and the like is effectively inhibited, the contrast ratio of tracer particles and the background is improved, and the image acquisition quality under complex conditions is ensured; the large-scale cross-correlation stability of the LSPIV and the sub-pixel displacement precision of the optical flow method are fused, the weight is dynamically adjusted according to the tracer density, the flow velocity gradient and the environmental error, and the limitation of a single method in a sparse tracer or high flow velocity gradient scene is solved.