14results about How to "Improve image contrast" patented technology

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.

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 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 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.

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 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.

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.

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.