1671 results about "High contrast" patented technology

The invention relates to the technical field of defect detection, and discloses an integrated circuit mask plate defect multispectral cooperative detection method, which comprises the following steps: carrying out preliminary scanning on a mask plate by using a multispectral camera, selecting an optimal wave band combination, switching to a target wave band through a liquid crystal adjustable optical filter, and obtaining a high-confidence multispectral image; the optical path offset is calculated through the linear relation, the deflection angle of the micro-mirror is dynamically adjusted, and images are collected for the second time after imaging offset is compensated; image filtering and registration are completed in the FPGA, and a high-contrast fusion image is generated; if the confidence coefficient is insufficient, triggering a wave band reselection mechanism to recheck; dynamically optimizing a defect type-spectrum mapping table based on real-time detection data; when the environment fluctuation exceeds the limit, an anti-interference mode is automatically switched, and micro-mirror calibration is triggered; and monitoring performance degradation of the optical assembly in real time, switching redundant optical paths, cleaning damaged parts, triggering manual reinspection when conflicts occur, and finally generating a visual report. According to the invention, the detection accuracy of the integrated circuit mask plate can be improved.

To provide an onium salt which is used for a chemically amplified resist composition having excellent solvent solubility, high sensitivity, high contrast, and excellent lithographic performances such as exposure latitude and linewidth roughness, in photolithography using high-energy radiation, a chemically amplified resist composition comprising the onium salt as a photoacid generator, and a pattern forming process using the chemically amplified resist composition.SOLUTION: An onium salt having the following formula (1) is provided. [R1-R12 independently represent H, halogen, or a C1-C20 hydrocarbyl group optionally including a heteroatom; one of R13 and R14 represents a substituent having a terminal sulfonic acid anion; the other represents H, halogen, or a C1-C20 hydrocarbyl group optionally including a heteroatom; and Z+ represents an onium cation.]SELECTED DRAWING: None

Systems and methods for training a neural radiance field model for noisy scenes can leverage raw noisy images in linear high dynamic range color space to train a neural radiance field model to generate view synthesis of low light and / or high contrast scenes. The trained model can then be utilized to accurately complete view rendering tasks without the preprocessing used for generating low dynamic range images. In some implementations, training on unprocessed data of a low light scene can allow for training a neural radiance field model to generate high quality view renderings of a low light scene.

The invention discloses a casting detection method and system based on machine vision, and relates to the technical field of intersection of machine vision and material science, and the method comprises the steps: extracting the boundary coordinates of a region with a risk value exceeding a risk threshold according to a defect risk weight map, and forming a dynamic region of interest scanning frame; adjusting the incident angle of a polarized light source according to the track of the dynamic attention area scanning frame, collecting a local image, and obtaining a high-contrast image sequence for eliminating the interference of a surface oxide layer; extracting a defect edge feature map from the high-contrast image sequence through a deformable convolution kernel, and obtaining a defect candidate region mask; the defect candidate region mask is mapped to a von Mises stress field, and a crack germination probability is predicted in combination with a material fatigue limit parameter. According to the method, the accuracy and reliability of detection are improved, and the applicability under complex working conditions is remarkably improved, so that the casting quality control level is effectively improved, and the repair and quality control cost is reduced.

The invention relates to the technical field of machine vision and perception, in particular to a ton bag lifting unmanned control system based on a binocular vision camera and a laser radar, which comprises an intelligent control unit, a lifting appliance executing mechanism, a sensing unit and a special ton bag, the sensing unit comprises a binocular vision camera and a laser radar and is used for collecting depth vision and three-dimensional point cloud information of an operation area; the intelligent control unit fuses multi-source data, locates a lifting lug by improving a weighted multi-feature fusion algorithm, plans a safety path and generates a staged instruction; the lifting appliance executing mechanism lifts and pulls a collapsed lifting lug through an electromagnetic adsorption module, a mechanical gripper module clamps the lifting lug, and reliable operation is achieved in cooperation with a verification mechanism; the special ton bag is matched with a sensing and executing module through a high-contrast color and a pre-embedded metal piece. The full-process unmanned operation is achieved, the robustness and operation safety of the complex environment are improved, and the ton bag hoisting requirements of multiple industries are met.

The invention discloses a multispectral image fusion model based on a double-branch self-attention-generative adversarial network and a fusion method thereof, and the model sequentially comprises an input preprocessing module which is used for carrying out the same-amplitude mapping, normalization and overlapping block embedding of visible light and infrared original images, and generating a to-be-fused feature block; the double-branch encoder module captures a cross-modal long-distance dependence and overall brightness structure through multi-head deep convolution transpose attention (MDTA) and a gated deep convolution feedforward network (GDFN), and extracts high-frequency texture and edge information by using a reversible residual gating layer and detail DetailNode iteration; the fusion decoder module is used for carrying out multi-level self-attention-convolution reconstruction on the two paths of features after channel dimension splicing, and outputting a single-frame high-resolution fusion image; and the double-domain discriminator module comprises a visible light domain discriminator and an infrared domain discriminator which are respectively used for carrying out adversarial evaluation on the fused image and the corresponding modal truth value image so as to improve the detail authenticity and the thermal target contrast ratio of the fusion result. The technical problems that an existing infrared-visible light image fusion method is insufficient in detail reservation, unbalanced in brightness and contrast, poor in unsupervised training stability and the like are solved, the method can be deployed on embedded platforms needing real-time and multi-modal information enhancement such as night monitoring, unmanned driving and edge security and protection, and high-contrast and high-information-amount fusion imaging is achieved.

The invention provides an image enhancement optimization method based on multi-strategy improved sparrow search. The method comprises the following steps: performing normalization processing on a gray value of each pixel point of an original image; initializing a sparrow population and parameters according to an elite chaos reverse learning strategy; the method comprises the following steps: preprocessing an input image by adopting a dual gamma function BiGA; calculating the value of the evaluation function; updating the optimal fitness value of the sparrow population; when an iteration stop condition is not met, updating the position of the sparrow population by adopting a probabilistic following strategy, a self-adaptive local search strategy and a Cauchy Gaussian mutation strategy, and updating parameters of a dual gamma function BiGA; otherwise, ending iteration, and calculating an optimal parameter; processing the image, and outputting an enhanced image; according to the method, the visual effect of the image can be improved, edge details and textures can be richer, and the enhanced image can have higher contrast and better definition. The method is best in overall enhancement effect, and the obtained image is better in quality.

The invention discloses a coal mine belt deviation real-time lightweight detection device and a coal mine belt deviation real-time lightweight detection method based on image sub-pixels, firstly, the device captures video streams of belt operation in real time through an image acquisition device, analyzes the video streams in real time by means of edge computing nodes, and monitors the running state of a belt in real time to determine the deviation of the belt; once the belt starts to work, image distortion caused by a shooting angle or environment is immediately corrected through perspective transformation. Secondly, automatically selecting a high-contrast reference strip through an image preprocessing method, and accurately extracting a region near the belt edge as a minimum region of interest, namely a belt edge region; then, a lightweight sub-pixel convolutional neural network is used to carry out deep analysis on the areas, and a high-quality super-resolution image is generated, so that the accuracy of edge detection is further improved. And finally, accurately identifying and positioning the edge position of the belt by introducing a bidirectional edge tracking method with an abnormal detection function, thereby realizing real-time and accurate detection on the deviation condition of the belt.

The invention discloses a double face recognition area early warning safety protection method, and relates to the technical field of face recognition, a face recognition camera, a database, a background server and a client are included, and the method has the advantages that under strong light, an intelligent light adjustment algorithm can automatically reduce the exposure, improve the contrast and enhance the color saturation; the face features are highlighted, the overexposure phenomenon of the face is avoided, under the backlight condition, the backlight compensation algorithm is started, the overall brightness of the face is improved by increasing the edge brightness and adjusting the hue, the accuracy of feature extraction is ensured, and in addition, based on the face detection technology of the deep neural network, through deep training of massive face image data, the accuracy of feature extraction is improved. According to the invention, the camera can learn the face features in various complex environments, and even if the face is partially shielded and is located at different angles or under poor light conditions, the system can accurately carry out detection and recognition, so that the stability and accuracy of face recognition are greatly improved.

The invention belongs to the technical field of LED driving, and particularly relates to a backlight brightness adjusting method based on edge detection. The method mainly comprises three parts of edge detection and region division, and local refinement and weighted calculation adjustment of a virtual matrix. The invention aims to optimize the use of system resources and improve the brightness smooth transition effect. According to the method, smooth transition with low calculation cost is realized in a high-contrast area, and the method is suitable for being applied to equipment such as high-resolution televisions and displays which have high requirements on brightness dimming precision.

The invention belongs to the technical field of novel fluorescent materials, and particularly discloses application of a mechanical color change pyrenyl derivative in latent fingerprint fluorescence imaging and extraction. The mechanical color-changing pyrenyl derivative can be selectively combined with fingerprint residual substances under the excitation of ultraviolet light through the unique fluorescence response characteristic, so that potential fingerprints form high-contrast fluorescence imaging on smooth or rough surfaces (such as glass, metal, plastic and the like), and the mechanical color-changing pyrenyl derivative is compatible with conventional camera equipment to realize rapid acquisition. The compound design is based on a modular synthesis route, and has the advantages of simple and convenient synthesis process, controllable raw material cost, high reaction yield and the like. The product has excellent thermal stability and chemical stability, can be stored at normal temperature and does not need special treatment, and the practical application threshold is greatly reduced. Compared with a traditional fingerprint developing technology, the method has remarkable breakthroughs in the aspects of sensitivity, substrate adaptability and operation convenience, and an efficient, economical and environment-friendly novel solution is provided for the fields of criminal investigation, forensic identification and the like.

The invention discloses a stele stone carving digital rubbing method based on a three-dimensional laser scanning model, and relates to the technical field of cultural relic protection and digitization, and the method comprises the steps: scanning a stele by using a three-dimensional data scanner, obtaining the three-dimensional data of the stele, and carrying out the data splicing to form a three-dimensional data set; preprocessing the three-dimensional data set and constructing a three-dimensional surface model of the stele; extracting a grey-scale map of the surface of the stele from the three-dimensional surface model; and gray information of the concave seam area on the surface of the stele is extracted from the gray-scale map, and a digital rubbing of the stele is generated according to the gray information. Complete three-dimensional data of the stele is obtained by using a three-dimensional laser scanner, the integrity of the data is ensured, a three-dimensional surface model is generated by using an advanced algorithm, the geometric accuracy of the model is ensured, an accurate basis is provided for the extraction of a grey-scale map, the extracted concave seam area information is more accurate, the definition and detail expressive force of the image are enhanced, and the image quality is improved. And the finally generated digital rubbing has high resolution and high contrast.

According to the device and the method for synchronously locking the phase and the period of the holographic interference fringes, two sets of locking devices are adopted and are respectively arranged at two ends of a holographic interference exposure field in the same direction as the period of the interference fringes, one set is used for compensating the phase of the interference light field to lock the phase of the interference fringes, and the other set is used for locking the period of the interference fringes. And the other one is used for compensating the output laser frequency of the laser to lock the interference fringe period. According to the interference fringe phase and period synchronous locking method, the problem that the contrast ratio of interference fringes is degraded due to phase and period drift of the interference fringes in the exposure process of a large-aperture holographic grating is solved, and particularly an interference fringe period real-time locking module is used; the problem that the fringe contrast is gradually deteriorated in the periodic direction due to periodic change of interference fringes is effectively solved, and a reliable solution is provided for preparation of the meter-scale large-aperture, high-contrast and high-uniformity holographic grating.

The invention provides a display method and electronic equipment, and in the application, when the electronic equipment displays a picture, the shooting environment illumination of the picture, the brightness of a first gray scale of the picture in the shooting environment, and the brightness of a current watching environment can be obtained. The electronic equipment can determine the brightness of a first gray scale of a picture displayed in a display screen in a watching environment based on the shooting environment illumination, the display screen brightness in the shooting environment and the current watching environment brightness. And when the electronic equipment displays the picture, setting the brightness corresponding to each gray-scale value in the picture according to the brightness of the first gray scale of the picture in the determined watching environment. Besides, the electronic equipment can also obtain the brightness compression curve of the high dynamic range area in the picture, and perform tone mapping based on the brightness compression curve to restore the contrast ratio of the brightness of the pixel points in the high dynamic range area in the picture. Therefore, the contrast ratio of the highlight area in the picture displayed by the electronic equipment is higher, and the sense of reality is stronger.

The invention relates to a gray dye composition, which consists of at least one yellow dichroic dye, at least one red dichroic dye, at least one purple dichroic dye and at least one blue dichroic dye, and has uniform total absorption in a visible light region when being mixed with a parent liquid crystal composition for use. The liquid crystal composition has high contrast when applied to light valves, switchable windows, switchable mirrors and guest-host displays.

The invention discloses a beer sealing cover defect identification method based on image intelligent identification, and relates to the field of image identification, and the method comprises the steps: extracting the brightness distribution, color histogram and edge gradient features of a picture shot by a camera; constructing a precise light type calculation model, and dynamically adjusting brightness transition curves of adjacent partitions; identifying a high-contrast edge in the picture, and dynamically adjusting a brightness decay curve of adjacent partitions according to an edge brightness difference; color calibration is carried out through a three-dimensional color lookup table; and performing defect identification on an actual sealing cover image by using a dual mechanism. The light rays of the light source emitter are regulated and controlled, so that under the contrast condition, a machine and human eyes are easy to identify, the halo diffusion radius is reduced, and color calibration is carried out through the three-dimensional color lookup table, so that the machine and the human eyes are prevented from being influenced by images during identification, and the overall identification accuracy is ensured.

The invention discloses a photoelectric wafer defect detection method, and belongs to the technical field of semiconductors. The detection method comprises the steps that the surface of a photoelectric wafer is covered with a quantum dot precursor solution, annealing is carried out, after a quantum dot film is formed, irradiation is carried out under ultraviolet light, a displayed fluorescence signal can mark defects on the surface of the photoelectric wafer, and the purpose of detecting the defects of the photoelectric wafer is achieved. The quantum dots used in the invention have excellent fluorescence efficiency and stability, and can provide a high-contrast marking effect in an SEM image. Therefore, the detection of micron-scale and nano-scale defects is more accurate, and the details are clearer. A traditional fluorescence labeling solution is limited in infiltration capacity in nanoscale defects and can only cover the surface. The quantum dots can penetrate into the defect to form a mark with the depth ratio as high as 1: 3. The depth marking capability is helpful for comprehensively knowing the internal structure of the defect and the defect extension condition. In addition, the quantum dots have excellent adaptability and multifunctionality, and show good stability and coupling effect under different types of wafer conditions.

Systems and methods are provided for increasing a quality of images generated by a computed tomography (CT) system. In one example, an initial assessment of contrast timing and flow through different anatomical regions of a patient is performed, and based on the initial assessment, different visualization schemes are applied to the different anatomical regions of a reconstructed image, where each visualization is optimized for assessing a different anatomical region. The visualizations may increase a contrast between diseased tissues and non-diseased tissues of the different anatomical regions, and may include color maps (e.g., heat maps and / or probability maps) and / or color overlays based on spectral decomposition information. The different visualizations may be combined into a single 2D image, where each anatomical region (e.g., organ, bone, etc.) is displayed in high contrast, and where aspects of various anatomical regions may be highlighted or colorized to visualize specific information.

The invention provides a facial skin flaw enhancement method based on a Lab color space. The method comprises the following steps: firstly, acquiring an RGB face image and converting the RGB face image into a CIE Lab color space with uniform perception; then, performing differentiation treatment according to the manually selected skin flaw type: for the vascular flaw, extracting statistical characteristics of a component and driving adaptive nonlinear transformation, and generating a grey-scale map which highlights the red flaw; for pigment flaws, nonlinear transformation is carried out on the component L, and then collaborative linear weighting and feature amplification are carried out on the component L, the component a and the component b, so that a grey-scale map with highlighted pigment spots is generated. And finally, coloring the grey-scale map in the Lab color space through adjustable parameters to generate a high-contrast color enhanced image. The method overcomes the dependence on hardware and training data in the prior art, can clearly and adaptively enhance various flaws such as acnes, couperose streaks and color spots, shows robustness under different illumination, and can be widely applied to clinical beauty, later photography and real-time video processing.

The resist composition exhibits a high contrast, improved maximum resolution, and satisfactory sensitivity and line width roughness (LWR) when processed by lithography using high-energy radiation, especially electron beam (EB) and EUV, and a pattern forming process using the resist composition. The resist composition comprising (A) a base polymer containing a polymer comprising repeat units having an acid labile group and repeat units having a carboxy group, (B) an organic solvent, and (C) a hypervalent iodine compound having formula (1):

The present invention provides an application of a type of inorganic material in the preparation of a color-changeable polymer material, and also provides a color-changeable polymer material prepared based on the type of inorganic material and a preparation method thereof, which belongs to the field of polymer laser processing technology. The inorganic material described in the present invention is an inorganic compound containing tungsten and / or molybdenum. The present invention prepares a color-changeable polymer material after adding a specific inorganic material as an additive to a polymer. Under the action of laser, the polymer material has an excellent color-change effect, and various color marks can be formed on the polymer material. The obtained color marks are clear and flat with high contrast. At the same time, the polymer material is light in color, and color marking can be achieved on a light-colored substrate, thereby expanding the scope of application. In addition, the preparation method of the color-changeable polymer material of the present invention is simple, easy to operate, safe, environmentally friendly, and very suitable for industrial applications.

The invention relates to the technical field of dimming films, in particular to a dye PDLC composition and a PDLC dimming film. According to the present invention, a plurality of specific dichroic dyes are selected, and by regulating the ratio of the specific dichroic dyes and the addition ratio of other components, the selected dichroic dyes are not easy to separate out and not easy to fade during the PDLC light adjusting film preparation process, such that the obtained PDLC light adjusting film has high off-state haze and high contrast, and the PDLC light adjusting film has characteristics of high brightness and high brightness. The selected dichroic dye can absorb part of scattered light, so that the on-state haze is further reduced; in addition, by adopting the composition disclosed by the invention to prepare the PDCP light adjusting film, the all-light light adjusting range of the light adjusting film can be greatly improved, and the requirement of the field on the light adjusting range of the light adjusting film is met.

The invention discloses an infrared and visible light image fusion network, and relates to the field of image fusion. The system comprises a double-branch feature coding unit, a fusion unit and an image reconstruction unit, the double-branch feature coding unit comprises a multi-scale edge gradient module, a significant dense residual module and a spatial bias module, and infrared and visible light images pass through the multi-scale edge gradient module to obtain enhanced texture features. The infrared image is processed by a significant dense residual module to obtain enhanced significant features, global information and local information of the enhanced texture features and the strong significant features are fused by a spatial bias module, the features processed by a fusion unit are input into an image reconstruction unit, the fused feature information is reconstructed, and the reconstructed feature information is output to the image reconstruction unit. And outputting a final fused image. According to the method, the clarity of image edges and target details can be better maintained, and higher contrast and visual clarity are provided.

A scan driving method for rendering a high-contrast image, for use in a cholesteric liquid-crystal display device, is provided. The cholesteric liquid-crystal display device includes a display panel and a driving circuit section. The method includes: utilizing the driving circuit section to sequentially activate each scanning electrode using a modified pulse-width modulation (PWM) scanning procedure including a first stage, a second stage, and a third stage in sequence; and utilizing the driving circuit section to apply one or more alternating-current (AC) voltage pulses to pixel circuits on a first scanning electrode during the first stage to manipulate grayscale values of the pixel circuits thereon to be written in the second stage. During the first stage of the first scanning electrode, the pixel circuits on the remaining scanning electrodes within the third stage sense a zero voltage during a high-voltage period within the first stage of the first scanning electrode.

A liquid crystal optical element includes an optical function layer and two transparent substrates. The optical function layer is sandwiched between two transparent substrates. The optical function layer contains liquid crystal molecules and a photoisomerization material. The liquid crystal optical element switches between a light-transmitting state and a light-scattering state according to an orientation state of the liquid crystal molecules. The optical function layer holds the liquid crystal molecules and the photoisomerization material within a mesh structure formed of a resin-particle aggregate. Therefore, light can be strongly scattered when the liquid crystal optical element is in a screen state, and a high-contrast image is obtained when visible light is projected onto the liquid crystal optical element.

The invention relates to the technical field of surveying and mapping, and discloses a surveying and mapping system and method based on multi-source data fusion, and the method comprises the steps: collecting the image data of a to-be-surveyed area, collecting the illumination intensity of the to-be-surveyed area and the inertial data of an unmanned plane in real time, and judging whether to start LiDAR ranging; when it is judged that starting is conducted, image data and point cloud data are obtained, and the point cloud data are processed according to the timestamp of the image data; processing the image data to determine a high-contrast area, and converting image coordinates in the image data into global coordinates; denoising the point cloud data after time synchronization to generate a digital elevation model; and aligning the high-contrast area and fusing other areas in the image data according to the digital elevation model to obtain a surveying and mapping model. By fusing the optical image and the LiDAR data, the limitation of a single surveying and mapping means is overcome, and the precision and reliability of the surveying and mapping model are improved.

The invention discloses a super-resolution microscopic imaging method for removing Poisson background noise. According to the invention, switching modulation of different frequencies is carried out on the signal light and the suppression light split by the illumination light source at the same time, and the frequency of the signal light is read by the detection end, so that noise interference caused by the suppression light is removed. The method aims at most point scanning super-resolution microscopy methods, such as stimulated radiation depletion microscopy, saturated absorption competition microscopy, fluorescence differential microscopy and the like. The method can be applied to the fields of biomedical imaging and material science requiring high signal-to-noise ratio and high contrast.

The invention provides an ultrasonic transmission CT (Computed Tomography) imaging method and system, a computer and a storage medium, which can be used for quickly reconstructing an ultrasonic transmission image with high resolution and high contrast. The method comprises the following steps: in layer-by-layer scanning of an annular ultrasonic transducer array, calculating a TOF (Time of Flight) matrix containing transmission time of all ultrasonic paths after the annular ultrasonic transducer array rotates by a specific angle each time; after one layer of scanning is completed, the TOF matrixes of different angles are recombined into a three-dimensional matrix according to the spatial relation, and missing data are complemented; discretizing an area to be imaged into two-dimensional grids, making each grid correspond to a pixel point, counting transmission time and path length of all ultrasonic paths penetrating through the pixel point, calculating sound velocity contribution values of the paths, taking an average value as a sound velocity value of the pixel point, and generating a two-dimensional ultrasonic transmission image; a two-dimensional image is converted into a three-dimensional image through a ray casting algorithm, the visual influence of voxels is adjusted by introducing a weight factor based on depth, and the depth perception and semitransparent rendering effect of the image are enhanced.

The invention discloses a red xanthene dye for blue photoresist color paste and a synthesis method of the red xanthene dye, and the synthesis method comprises the following steps: (1) sulfonyl chlorination reaction: carrying out sulfonyl chlorination reaction on xanthene molecules B containing two sulfonate radicals by using a chlorination reagent, and carrying out post-treatment to obtain a sulfonyl chloride intermediate C; and (2) esterification reaction: carrying out esterification reaction on the sulfonyl chloride intermediate C obtained in the first step by utilizing an esterification reagent, and carrying out post-treatment to obtain the target red xanthene dye A with methacrylamide at the tail end. The invention provides a novel xanthene dye molecule which can be mixed with a blue pigment color paste to prepare a blue photoresist color paste for improving the brightness of the color paste. In addition, the liquid crystal composition has the advantages of high transparency, high contrast ratio, good dispersity, relatively high covering power, tinting strength and the like, and is good in thermal stability and light stability; meanwhile, the synthesis method provided by the invention is simple, low in cost and easy for large-scale production.

The invention belongs to the technical field of deep learning and image processing, and discloses an underwater image enhancement method based on tensor learnable prior. By designing learnable prior based on a Tensor Train kernel, explicit modeling of the underwater degradation law is realized. The four Tensor Train kernels correspond to the height, the width, the channel and the image block modality respectively, so that the system can simultaneously describe the vertical structure change, the horizontal scattering, the spectral absorption difference and the regional scale attenuation, thereby obviously enhancing the description capability for the underwater multimode degradation. The Tensor Train kernel is dynamically generated based on the kernel prediction sub-network, the prior structure of the method can be adaptively adjusted along with the input image, and the stability and generalization ability of the enhancement result are improved. According to the method, color shift is effectively corrected and scattering blur is inhibited while the structure edge is kept, so that the enhancement process is changed from traditional black box type mapping to physical consistency structured reasoning, and more natural colors, higher contrast and better detail recovery effects are obtained in a complex turbid environment.