30results about How to "Improve image contrast" patented technology

The invention belongs to the technical field of fundus imaging, and discloses an ultra-wide-angle ellipsoid confocal laser scanning fundus imaging system, which comprises a light splitting module, a light condensing module, a scanning module, a transmitting mirror group, an ellipsoid reflector and a detection module, wherein the center of the scanning module and the center of the transmitting mirror group are located on the same optical axis A, the pupil of the human eye is located at the first focus of the ellipsoidal reflector, and the entrance pupil of the transmitting mirror group is located at the second focus of the ellipsoidal reflector; and the transmitting lens group comprises a movable focusing lens and is used for changing the position of a first image surface of light reflected by the retina of the human eyes when moving along the optical axis A so as to realize clear imaging of the retina of the human eyes with different diopters. Under the condition that a free-form surface is not introduced, ultra-wide-angle multi-wavelength confocal laser scanning fundus imaging with the single intraocular field angle of 200 degrees is achieved, and the full-field optical resolution reaches 15 micrometers. And by moving the focusing lens, imaging compensation can be carried out on human eyes with diopters of-15D to + 15D.

The invention discloses a differential polarization confocal microscopic imaging system and method of a multi-focus channel, and relates to the technical field of optical microscopy. Comprising a light source emission module, a dichroscope (6), a two-dimensional galvanometer module, a scanning module, a sample acquisition module, a detection module and an imaging terminal (17). According to the invention, differential polarization imaging and a multi-focus channel confocal technology are combined, so that the imaging quality of the confocal microscopic system is further improved on the premise of ensuring the confocal imaging speed; meanwhile, differential imaging is introduced, so that the imaging contrast ratio can be greatly improved, and the confocal microscopic system can obtain a better imaging effect in the application field of thick tissue microscopic imaging.

The invention discloses an image acquisition method and system for a dual-wavelength circular polarization camera, and the method comprises the steps: setting two independent nanosecond pulse laser sources, and respectively transmitting lasers with different wavelengths; respectively carrying out left-hand circular polarization and right-hand circular polarization treatment on the two lasers; integrating the two nanosecond pulse laser beams subjected to circular polarization treatment into one beam, wherein the two beams are completely overlapped and are coaxial; the integrated nanosecond pulse laser beams are irradiated to a target object, and reflected light is collected through a double-spectrum camera to form two images with different wavelengths; and distributing weights for the image according to the importance of the polarization information, and generating a comprehensive image by adopting an image fusion technology. According to the image acquisition method and system of the dual-wavelength circular polarization camera, two independent nanosecond pulse laser sources are arranged to emit short-wavelength laser and long-wavelength laser respectively, the two beams of laser are subjected to left-handed and right-handed circular polarization processing and then integrated into one beam, and efficient imaging in a complex environment is achieved.

The invention relates to a display device, a head-up display device and a backlight control method thereof. A display panel in the display device comprises a plurality of display areas, a backlight source comprises a plurality of light-emitting elements, the plurality of display areas are in one-to-one correspondence with the plurality of light-emitting elements, and a control module is used for determining brightness information corresponding to each display area according to an image to be displayed by the display panel; determining target brightness corresponding to each light-emitting element according to the brightness information corresponding to each display area; and controlling each light-emitting element based on the target brightness corresponding to each light-emitting element. When the display device provided by the invention is used for displaying, the target brightness corresponding to each light-emitting element in the backlight source is determined according to the to-be-displayed image, the light-emitting elements are controlled according to the target brightness, and light waste caused by lightening all the light-emitting elements is avoided by independently controlling each light-emitting element; the power consumption is reduced, and the light utilization rate and the image contrast are improved.

The invention relates to a special gas leakage detection method and system. The method comprises the following steps: acquiring an infrared image of a to-be-detected area; and inputting the infrared image into a pre-trained special gas leakage detection model to obtain a special gas leakage detection result. The method has the advantages that by proposing an infrared image enhancement algorithm based on MSRCR, WLS filtering and CLAHE, the image contrast and texture details are effectively improved, and the foreground and background marginal definition is enhanced, so that the robustness and accuracy of a subsequent deep learning network on leakage region identification are improved; a data set is expanded in various modes of network downloading, field shooting, software synthesis and the like, so that the model can learn richer features from a large number of diversified samples, the over-fitting risk is reduced, the generalization ability of the model is enhanced, and the model can adapt to different environments and leakage conditions; the combination of the lightweight model and the image enhancement algorithm enables the algorithm to achieve a faster detection speed while guaranteeing the recognition accuracy, and meets the real-time requirements.

The invention discloses an immunofluorescence imaging method for driving tyramine signal amplification based on chemiluminescence and application thereof, and relates to the technical field of biomedical imaging. The immunofluorescence imaging method comprises the following steps: carrying out first incubation on a to-be-detected sample and a peroxidase-labeled antibody; performing second incubation on the to-be-detected sample after the first incubation and a tyramine substrate containing a fluorophore under a dark condition; adding a chemiluminescent substrate solution into the to-be-detected sample after the second incubation, and carrying out image acquisition; wherein the antibody can be specifically bound with a target protein; the tyramine substrate can generate active free radicals under the catalysis of peroxidase, so that the active free radicals are covalently cross-linked with tyrosine residues; the chemiluminescent substrate solution comprises hydrogen peroxide and luminol. The immunofluorescence imaging method improves imaging signal and fluorescence stability, effectively reduces background interference and phototoxicity, is suitable for long-time stable fluorescence immunoimaging, and is especially suitable for high-sensitivity detection of low-expression protein markers.

The utility model relates to the technical field of pipe detection, in particular to an enhanced design of detection precision of a detection device. The utility model discloses a steel pipe surface defect detection device which can keep high-precision dynamic stability in the detection process, provide a clean detection environment and optimize the imaging precision of the steel pipe surface defect detection device. The detection device comprises a shell, an imaging assembly arranged in the shell and a clamping assembly used for clamping a steel pipe, and the shell is provided with a dustproof ring used for allowing the steel pipe to pass through. The clamping assembly comprises a downward pressing device moving in the vertical direction and a supporting roller arranged on a downward pressing path of the downward pressing device, and the supporting roller is used for supporting the bottom of the steel pipe and guiding the steel pipe to enter the shell through rolling movement.

The utility model discloses a kind of lithium battery pole piece size measuring devices, it relates to lithium battery pole piece online measurement technical field, the lithium battery pole piece size measuring device, including table top and display, the table top is fixedly provided with support, the upper end of support is equipped with the measuring mechanism for carrying out size measurement to lithium battery pole piece, the lower end of support is provided with fixed base, fixed base inside is equipped with the object table for carrying the lithium battery pole piece to be measured, the upper end of fixed base is also provided with adjustable light source mechanism, adjustable light source mechanism adjusts illumination position according to different measurement needs.The utility model constructs multi-mode lighting system by integrating liftable rotating annular light source, adjustable arc-shaped light supplement unit and reversible locking side light source, realize all-around, self-adapting illumination adjustment to lithium battery pole piece, effectively eliminate reflection and shadow, significantly improve the accuracy and adaptability of size measurement.

The present invention relates to the field of optical technology, and in particular to a backlight detection system and a pixel-level light field modulation method thereof, wherein the system comprises a main optical system, a polarization beam splitter, a relay lens group, a visible light detector, a pixel-level polarization light field modulator, a polarization detector and a high-dynamic fusion component, wherein the radiation energy collected by the main optical system is incident on the polarization detector and the pixel-level polarization light field modulator respectively through the polarization beam splitter, the polarization detector acquires a polarization image, the radiation energy output by the pixel-level polarization light field modulator is imaged to the visible light detector in turn through the polarization beam splitter and the relay lens group to obtain a visible light image, the polarized visible light image is sent to the high-dynamic fusion component for detection target recognition and motion trajectory prediction, the pixel-level polarization light field modulator is modulated according to the detection target recognition and motion trajectory prediction results, so that the background radiation energy is reflected out of the backlight detection system along the original path. The present invention realizes high-precision target recognition of the detection target.

This invention discloses an anisotropic sparse deconvolution enhancement method and system for ultrasound tumor image segmentation. The method includes: establishing a local convolution model for ultrasound RF images based on the anisotropic characteristics of the ultrasound xz imaging plane; constructing an axis-aligned elliptical symmetric anisotropic point spread function (PSF), whose lateral and axial spread scales are obtained through physical parameter conversion or data-driven methods; constructing an ultrasound sparse reconstruction objective function incorporating the anisotropic PSF, adding non-negativity constraints, introducing a weighted Hessian continuity term and an L1 sparse prior term in the xz plane direction, and optimizing the solution to obtain the sparse reconstruction result; using this result as input, employing an RL iterative deconvolution method based on the anisotropic PSF, and achieving image boundary sharpening and noise suppression through PSF flip kernel ratio iteration; inputting the enhanced image into a tumor segmentation network to complete training and inference, thereby achieving ultrasound tumor image segmentation.

This invention discloses a precision detection method and system for surface defects in metal strips, relating to the interdisciplinary fields of mechanical engineering and machine vision. The method includes: synchronously acquiring multi-band images using a multispectral light source and an industrial camera array; establishing a spatiotemporal synchronization model based on encoder speed signals and performing sub-pixel-level image registration to correct motion distortion; adaptively fusing multispectral images based on a material-spectral response database to enhance the signal-to-noise ratio of micro-defects; employing a lightweight deep learning model to achieve pixel-level defect segmentation and classification; and extracting defect geometric parameters and automatically classifying them using a process tolerance library. This invention aims to solve the problems of narrow material applicability, severe image distortion under high-speed motion, low micro-defect detection rate, and complex system deployment in existing technologies. It achieves high-precision, high-speed online detection of non-ferromagnetic metal strips, significantly improving the sensitivity to micron-level defects, system robustness, and ease of deployment.

The present application provides a display device. The display device includes a liquid crystal display panel, a backlight assembly, and an OLED display panel; wherein the backlight assembly is disposed on the back of the liquid crystal display panel; and the OLED display panel is disposed around the liquid crystal display panel. The display device can effectively solve the problem of light leakage at the border between the liquid crystal display panel and the backlight assembly by arranging the OLED display panel around the liquid crystal display panel, thereby improving the imaging contrast.

The invention relates to a convex high-reflection concave low-reflection color blindness correction lens and a preparation method thereof. It solves the problems of limited design freedom, excessive number of film layers and stress in the prior art. It comprises a transparent lens substrate, a high-reflection film layer formed on the convex surface and a high-transmission film layer formed on the concave surface. The convex high-reflection film layer adopts a multilayer composite structure of silver and silicon dioxide, and through accurate control of the thickness of the silver layer and the matching of the dielectric layer, selective reflection and attenuation of specific color light are realized; the concave high-transmission film layer adopts a multilayer dielectric interference film system design of titanium dioxide and silicon dioxide, realizing accurate transmission and spectral shaping of each waveband. The advantages of the invention are: breaking through the design limitations of traditional single-sided coating, adopting a double-sided asymmetric film system synergistic control strategy, realizing higher spectral selectivity, lower stray light, more natural lens appearance and standardized production of eight types of clinical prescriptions.

This invention relates to the technical field of gas detection, and discloses an SF6 gas detector. 6 A dual-band differential imaging detection method and system for gas infrared images. The dual-band differential imaging detection system includes: a binocular imaging module for simultaneously acquiring a reference band infrared image and a probe band infrared image of the area under test; the reference channel of the binocular imaging module is equipped with a reference infrared filter, the film structure of which includes a multi-cavity interference structure; the probe channel of the binocular imaging module is equipped with a probe infrared filter, the film structure of which includes a single-cavity Fabry-Perot structure; and an image processing module for registering and differentially processing the reference band infrared image and the probe band infrared image to identify SF6. 6 The gas leakage area. The reference infrared filter and the detector infrared filter of the dual-band differential imaging detection method and system of this invention are complementary, jointly optimizing the signal-to-noise ratio of the detection system.

The invention discloses an optical imaging lens which comprises a lens barrel, a lens group and a bearing element group, the lens group and the bearing element group are contained in the lens barrel, and the lens group is composed of a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens which are sequentially arranged from the object side to the image side along the optical axis and have focal power; the bearing element group comprises a first bearing element; the first bearing element is arranged between the first lens and the second lens and is in contact with the image side surface of the first lens; the optical imaging lens satisfies the following conditions: 2.55 lt; d0 m / EPDlt; 2.75, 1.50 lt, 2.75, 1.50 lt; d0s / d1slt; 1.95, 1.45 lt, 1.95, 1.45 lt; d < 0 > m / D < 0 < slt >; 1.80 and 0.90 lt, 1.80 and 0.90 lt; eP01 / CT1lt, EP01 / CT1lt; and 1.15.

The invention discloses an ultra-micro vessel visual imaging method. The method comprises the following steps: acquiring B-mode radio frequency data of an ultrasonic contrast agent; detecting contrast agent microbubbles in each frame of radio frequency data; removing motion artifacts in the data; describing the microbubbles by adopting a proper mathematical model; calculating the moving speed of the microbubbles between two adjacent frames of data, and generating a microbubble moving speed curve; and generating a corresponding index image according to the ultra-capillary related index and displaying the index image in the form of an image. The B-mode radio frequency data of the ultrasonic contrast agent is acquired, and the contrast agent microbubbles are detected by adopting a filtering means, so that noise and tissue clutter interference can be removed according to the dynamic characteristics of the input signal. For example, a space-time adaptive filter is adopted to firstly remove random noise in a space domain and then remove tissue clutters with low dynamic nature in a time dimension, so that a contrast agent microbubble signal is effectively separated from a complex signal, the image contrast is improved, and the structure of an ultra-microvessel can be displayed more clearly.

The invention discloses a railway perimeter foreign matter detection method, and relates to the technical field of rail traffic safety monitoring. The method comprises the following steps: acquiring an image collected along a railway and performing enhancement processing to improve image contrast and detail visibility; the processed image is input into an improved target detection network, the network fuses a lightweight pyramid fusion module and an adaptive boundary compensation module on the basis of a YOLOV11 architecture, and foreign matter types and positions are output by capturing multi-scale context information and optimizing feature boundaries; generating a track perimeter region mask by using a semantic segmentation network, and mapping a foreign matter bounding box into the mask to calculate a pixel coverage ratio; and in combination with multi-frame detection tracking logic, judging whether intrusion is formed according to the dynamic and static states of the foreign matters and the pixel coverage ratio. According to the method, the image quality in a complex environment can be effectively improved, the feature extraction and positioning performance of small target foreign matters is remarkably improved, and accurate railway perimeter safety assessment is realized.

The present invention discloses an intelligent medical management system for the entire course of disease for tumor patients, which relates to the technical field of medical management. By using image data sets and environmental data information, the tumor growth state can be monitored in real time, and by applying convolutional neural network technology to train the disease course prediction model, the tumor growth and metastasis risk can be more accurately evaluated, providing a scientific basis to guide treatment decisions. The disease prediction module estimates the migration evaluation index Qpzs by linearly normalizing the growth coefficient Szxs and the environmental impact coefficient Hyxs. This comprehensive evaluation method can effectively estimate the metastasis risk of the tumor, provide important risk warnings for clinicians, and facilitate timely adjustment of treatment strategies. The medical management module can accurately evaluate the condition of tumor patients by comparing and analyzing the evaluation threshold P with the migration evaluation index Qpzs. Based on this evaluation result, corresponding medical measures can be taken.

This invention relates to the field of image detection and electronic manufacturing inspection technology, and discloses a method and system for detecting solder joint defects on circuit boards based on image recognition. The method includes: constructing a multi-source collaborative programmable illumination array; acquiring multiple frames of original images under different illumination modes; performing pixel-level alignment and radiometric consistency correction to generate a multispectral temporal image sequence; extracting the reflection response feature vectors of solder joints under different illuminations; inputting a three-dimensional convolutional neural network model based on an attention mechanism; and outputting the defect type and confidence level. The system includes a multi-source array, a high-resolution industrial camera, a synchronization control unit, an image preprocessing unit, a feature extraction unit, and an intelligent discrimination unit. This invention significantly improves the detection rate of solder joint defects and reduces the false alarm rate through multi-angle multispectral illumination and a spatiotemporal attention discrimination model, meeting the requirements of high-reliability electronic manufacturing.

The invention discloses a strong background light license plate recognition system and method, relates to the technical field of optics, and aims to solve the problem that a driving vehicle license plate is difficult to recognize under the conditions of strong light interference and low light in traffic monitoring. The system is composed of a laser illuminator, a polarizing film, a visible light color camera, a visible light color polarization camera, an attenuation sheet, a data acquisition system, a power supply module, a controller, an image processor, a laser beam expanding lens group, a visible light imaging lens group and a visible light polarization imaging lens group. Compared with a traditional traffic monitoring probe, the system can effectively restrain strong light interference generated by an automobile headlamp at night, and the imaging contrast ratio and recognition precision of a license plate in the strong light background are improved. The visible light color camera and the visible light color polarization camera are combined for use, the vehicle contour and the surrounding background image obtained by the visible light color camera are reserved, detail information and background information lost by the polarization image can be effectively supplemented, a basis is provided for judgment of management personnel, and advantage complementation is achieved.

The application provides a kind of method and system for dissimilar metal molten pool flow visualization based on synchrotron radiation.The method comprises preparing dissimilar metal sample;Clamping dissimilar metal sample in sample clamping table, adjusting the X-ray incident direction of synchrotron imaging device to penetrate dissimilar metal sample;Irradiate dissimilar metal sample with laser;Transmitting imaging of mixed molten pool is carried out using synchrotron radiation source, and a sequence of transmission imaging is obtained;The transmission imaging sequence is analyzed to obtain the dynamic migration and flow pattern image information and data of the metal in the mixed molten pool.The method does not need to introduce tracer particles or bubbles, and does not change the intrinsic flow of the molten pool;The imaging contrast is high, the space-time resolution is high, the real and repeatable molten pool internal flow field information can be obtained, and it is suitable for the molten pool dynamics research and mechanism analysis in the process of laser welding and additive manufacturing, to provide reliable data support for molten pool flow model verification and process optimization.

The present application relates to the field of oil and gas drilling development, in particular to a kind of high temperature and high pressure wellbore multiphase flow visualization device and method based on MIT imaging.The technical scheme is: including temperature and pressure monitoring unit, data processing and three-dimensional imaging unit, also including wellbore simulation unit and MIT magnetic induction imaging unit, MIT magnetic induction imaging unit is installed on wellbore simulation unit;Silicon carbide wellbore is filled with three-phase experimental fluid, for adapting the simulation needs of different well diameters, and silicon carbide wellbore is installed in the center of first center variable-diameter mechanism, second center variable-diameter mechanism and third center variable-diameter mechanism;Composite heat insulation layer is arranged outside silicon carbide wellbore, and the beneficial effect is: the present application can adapt to high temperature and high pressure working condition, magnetic signal has strong anti-interference ability, the monitoring of three-phase experimental fluid is realized by the combination of the rapid adjustment of center variable-diameter mechanism and magnetic induction fault imaging technology, and it has high imaging resolution, which is of great significance to promote the progress of deep oil and gas drilling development technology.

This invention proposes an adaptive imaging adjustment method for UAV inspection of port equipment, belonging to the field of imaging adjustment technology. Addressing the problems of existing technologies, such as inability to handle complex lighting environments, difficulty in dynamically optimizing polarization angle adjustment, and the separation of image quality evaluation and imaging parameter adjustment, lacking a closed-loop control mechanism, this invention constructs a lightweight convolutional neural network image quality evaluation model driven jointly by gradient magnitude and information entropy. It defines a three-dimensional state space including exposure parameters, polarization angle, and quality score, and five discrete adjustment actions. A deep Q-network is used to train the model to output the optimal adjustment action, which is then executed in closed-loop iterative control during UAV online inspection, supplemented by a maximum iteration count guarantee and a threshold adaptive adjustment mechanism. This invention improves the contrast and detail clarity of microcrack imaging in metal structures under complex lighting conditions, and enhances the automation and robustness of imaging parameter adjustment.

The invention discloses an intelligent nanometer classifier based on glutathione gating and a preparation method and application thereof, and the preparation method comprises the following steps: 1, annealing four DNA chains T1, T2, T3 and T4 in an annealing buffer solution to form programmable atomic nanoparticles (PAN); annealing the four DNA chains H1, H2, H3 and H4 in an annealing buffer solution to form four hairpins; and step 2, incubating programmable atomic nano-particles (PAN) and four hairpins, and assembling the programmable atomic nano-particles and the four hairpins into the intelligent nano-classifier. The intelligent nano classifier can be used for realizing spatial selective visualization and cooperative photodynamic therapy of various circRNAs. The intelligent nano classifier can realize sensitive quantification of circRNA under single cell resolution, distinguish circRNA and mismatched variants thereof on a single base resolution level, and accurately identify breast cancer and lung cancer in different stages.

The present disclosure provides an imaging contrast enhancement mask and a preparation method thereof. The imaging contrast enhancement mask comprises a mask substrate and an absorption layer formed on the mask substrate, wherein a tip mask pattern structure is formed in a pattern area of the absorption layer, and a material of the absorption layer is a noble metal material. The imaging contrast enhancement mask uses the noble metal and the tip shape to double enhance the excitation of surface plasmons, thereby improving the imaging contrast of the pattern and realizing the processing of high-resolution patterns.

The present invention relates to the field of medical device technology, and in particular to a microcirculation imaging device with high imaging contrast, comprising a microcirculation imaging device body and an imaging receiving assembly, wherein the imaging receiving assembly comprises a first lens barrel and a light source irradiation module installed at the end of the first lens barrel, the inner cavity of the first lens barrel is connected to the image sensor module inside the microcirculation imaging device body and a plurality of lenses are installed in the inner cavity, and the light source irradiation module comprises an annular LED light group arranged at a certain tilt angle and surrounding the light entrance of the first lens barrel. The present invention realizes that LEDs can be compactly arranged in a narrow space, realizes annular dark field illumination, and improves the illumination uniformity of the surface of the tissue to be measured, the annular LED light group can irradiate the surface of the tissue to be measured at a certain tilt angle, and most of the reflections occurring on the surface of the tissue to be measured are emitted from the other side, reducing the light directly reflected from the surface of the tissue to be measured from entering the imaging light path, thereby improving the imaging contrast.

This invention provides a stray light suppression device based on polarization-delay combined modulation, comprising a polarization modulation module, a delay modulation module, and a light separation module. The polarization modulation module includes at least one polarizer. The delay modulation module is disposed on the light emission path of the polarization modulation module and includes at least one waveplate. The light separation module is disposed on the light emission path of the delay modulation module. The advantages of this invention are: it precisely addresses the difference in polarization characteristics between stray light and target light, and compared to traditional stray light suppression methods, it can more effectively suppress stray light of different angles and polarization states in complex optical path environments, significantly improving the image contrast and clarity of the optical system, reducing noise, and enhancing the system's resolution and sensitivity.

A region-of-interest reconstruction method for cone beam rotation CL is characterized by comprising the following steps: S1, acquiring CL projection data and a corresponding CL system scanning matrix; s2, calculating a corresponding diagonal weighting matrix and a correction factor of the projection data of the region of interest according to the system scanning matrix obtained in the step S1; s3, according to the CL projection data collected in the step S1 and the correction factor designed in the step S2, establishing a weighted least square optimization model based on the region of interest (ROI); and S4, solving the weighted least square optimization model of the region of interest in the S3 by using a conjugate gradient method, and outputting a reconstructed CL image. Simulation and actual PCB experiment results show that compared with other classic reconstruction methods, the ROI-CGWLS method provided by the invention is effective in inhibiting ROI artifacts and improving image contrast.

The invention relates to a visual monitoring method, device and system for crystal growth, and the method comprises the steps: obtaining a crystal growth image in a crystal growth furnace; processing the crystal growth image, and extracting reflective aperture data on a solid and liquid interface; and modeling the growth outer edge of the crystal layer by layer in the pulling growth process according to the reflective aperture data to obtain and display a crystal growth form image. According to the invention, through the image of the crystal in the crystal growth furnace, the aperture is obtained to reconstruct the crystal contour, the crystal growth process is monitored, and subsequent control of the crystal growth quality is facilitated.