57 results about "Brightness contrast" patented technology

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention provides a wafer defect detection method and system and electronic equipment, and relates to the technical field of machine vision, and the method fully utilizes the transformation relation between an imaging unit and an objective table in the wafer defect detection process to precisely splice strip images, thereby obtaining a high-precision wafer image, and improving the wafer detection precision. Meanwhile, an improved VAE model can be adopted to accurately obtain the defect area of the wafer to be detected from the brightness, the contrast ratio and the structural difference, high-precision recognition can be carried out on the fine defects, and therefore the problem that in the prior art, the fine defect detection effect is poor is solved.

The invention relates to the technical field of image recognition, in particular to a high-voltage breakdown point positioning method and system for insulation detection, and the method comprises the steps: obtaining a high-voltage breakdown original image and a reference image; based on brightness comparison and spatial neighborhood information, static reflection and dynamic noise are filtered out, and an arc reliable saturation region is identified; calculating a self-adaptive noise baseline of the pixel; iteratively searching outwards from the saturation region, and determining an annular glow region based on an adaptive noise baseline; and constructing a point diffusion glow model, executing nonlinear fitting by using glow region data, and obtaining a model center coordinate as a sub-pixel positioning result. According to the method, the saturation region is evaluated and positioned through double confidence coefficients, the glow region is constructed by using an adaptive noise baseline and iterative search, pixel coordinates are inversely solved based on a physical model, and the positioning problem caused by blinding of electric arc strong light is solved.

The application discloses a kind of based on multiple exposure generation fusion's low-light image enhancement system, belong to low-light image enhancement technical field.System includes: adaptive multiple exposure adjustment module (AMEA), joint prediction gamma coefficient, linear modulation factor and compensation parameter, to input low-light image carries out nonlinear and linear combination transformation, generates multiple luminance, contrast and different color response multiple exposure candidate image;Multiple exposure fusion module (MEF), original low-light image and candidate image channel splicing are carried out, and preliminary enhancement image is obtained by fine-grained weighting fusion of channel fusion coefficient and introduction of perception compensation parameter correction;Color refinement module (CRM), using encoder decoder structure and introducing fast fourier representation in bottleneck layer, realize spatial domain and frequency domain joint modeling, carry out global color calibration and local detail optimization to preliminary enhancement image.The overall network uses lightweight design such as depth separable convolution and dense connection, inference is simple, and can be run in real time in edge device.The application generates by adaptive multiple exposure, structure constraint fusion and frequency domain refinement, effectively restores dark texture, suppresses over-enhancement and color deviation, improves visual naturalness and robustness in complex low-light scene.

1. The name of the design product: knob for display screen. 2. The use of the design product: adjustment knob for display screen of industrial control equipment, medical equipment, automobile central control system, etc., mainly used for adjusting screen brightness, contrast, volume and other parameters. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The rear view is the same as the front view, and the left view is omitted. The right view is the same as the front view, and the right view is omitted.

The invention relates to the technical field of image processing, in particular to a metacarpal and phalanx image processing method and device. The method comprises the following steps: acquiring an initial metacarpal and phalanx image, and performing brightness processing on the initial metacarpal and phalanx image to obtain a first metacarpal and phalanx image; performing contrast processing on the first metacarpal and phalanx image to obtain a second metacarpal and phalanx image; constructing a preset convolution kernel, and performing definition processing on the second metacarpal and phalanx image based on the preset convolution kernel to obtain a metacarpal and phalanx target image; and inputting the metacarpal and phalanx target image into the bone age recognition model, and outputting a bone age recognition result. According to the method, dynamic image enhancement optimization can be carried out on metacarpal and phalanx X-ray images of different devices and different qualities through brightness, contrast and definition processing, so that the processed metacarpal and phalanx target images can highlight morphological characteristics of epiphysis, the bone age recognition accuracy is improved, and the bone age recognition efficiency is improved. The problem of low bone age recognition accuracy caused by different image qualities in the prior art is solved.

This application provides a method for detecting pelvic tilt and lower limb posture abnormalities based on a body composition analyzer, comprising: acquiring original images of the subject's body shape through a multi-view camera array, adjusting brightness and enhancing contrast to obtain an image blur index, judging the degree of image blur by a preset brightness contrast threshold, evaluating the initial blur and setting a blur tolerance; if the initial blur exceeds the preset blur threshold, increasing the edge enhancement coefficient to a specified range to obtain an enhanced first image dataset; extracting the pelvic anterior tilt angle and left and right tilt offset from the smoothed angle data, quantizing them to obtain a feature vector, determining the pelvic tilt state category based on the feature vector, and obtaining a preliminary pelvic tilt state assessment result.

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

The application relates to the technical field of regulation and control, and discloses an OLED display brightness-contrast combined regulation system based on artificial intelligence. The system collects OLED display brightness data and contrast data under the condition that the brightness is unchanged to construct a sample set, and pre-processes the OLED display brightness data collected in the sample set; meanwhile, a brightness regulation relationship model is established based on the pre-processed OLED display brightness data; meanwhile, a contrast-brightness combined regulation model is established based on the established brightness regulation relationship model and a contrast regulation algorithm; after the contrast-brightness combined regulation model is established, the contrast-brightness combined regulation model is optimized through a genetic algorithm, and the OLED display brightness-contrast combined regulation is realized based on the optimized contrast-brightness combined regulation model, so that the intelligence and efficiency of the OLED display brightness-contrast combined regulation are ensured.

The present disclosure relates to a model decimation method, device, medium and electronic equipment. The method comprises: dividing a model surface into a plurality of sub-regions; rendering the model and determining state information of each sub-region under multiple perspectives, wherein the state information comprises brightness, contrast and color; determining a decimation degree of each sub-region according to the state information; and performing a decimation operation in the corresponding sub-region according to the decimation degree. The sensitivity of the human eye to different brightness, contrast and different color wavelengths is different, and the decimation degree of each sub-region determined according to the state information can ensure the recognition accuracy of the human eye. By determining the state information under different perspectives, the accuracy of the decimation degree of each sub-region determined can be improved. In this way, the complexity of the model can be reduced while ensuring the visual experience of the user.

The application provides a complementary environment self-adaptive weighted image augmentation method. The method comprises the following steps: firstly, the brightness, contrast and saturation of a camera snapshot picture are parameterized; the light environment and the definition are analyzed, the data is normalized and is processed in grades, the obtained image parameters are substituted into a correlation function to calculate the image parameter gain weight, and another form of optimization augmentation is obtained by using shearing, rotating and translating to change the visual angle state; then, the two forms of optimization augmentation are combined to obtain the augmentation parameters of the picture, and the parameters are reversely converted to finally obtain the picture under various environment states. The method is simple in process and high in efficiency, and is a very promising method for assisting in improving the target recognition accuracy.

A method of providing a dark viewing mode with enhanced visual contrast includes evaluating the luminance and chroma of background colors, including highlight colors, of digital content prior to converting the digital content for the dark viewing mode to identify highlight colors having a luminance value that exceeds a luminance value threshold and a chroma value that exceeds a chroma value threshold. When a highlight color has luminance and chroma values that exceed the respective threshold values, the luminance value of the highlight color is clamped to a predetermined lower luminance value before converting the value for the dark viewing mode. The luminance value is converted for dark viewing mode by taking the opposite luminance value. As a result, the luminance value of the converted highlight color has a higher luminance value and greater luminance contrast with respect to the dark background in dark viewing mode.

The invention discloses a display adjustment method and device, electronic equipment and a computer readable storage medium. The display adjustment method comprises the steps that eye state information of a target object is acquired; wherein the eye state information at least comprises eye fatigue and a sight line position; in response to the fact that the eye fatigue degree is larger than a preset fatigue degree threshold value, display parameters of part or all of the display content at the sight line position are adjusted so as to reduce the eye fatigue degree; wherein the display parameters at least comprise at least one of the size, the style, the color, the brightness and the contrast ratio of the display content. Based on the mode, the display effect of the display equipment can be effectively improved, so that the user experience is improved.

The invention discloses a behavior analysis video key frame extraction method and device, a medium and computer equipment, and the method comprises the steps: reading a behavior analysis video picture frame by frame, and generating a full-white reference frame with the same size as a first frame; for a non-first frame, the difference between the non-first frame and the reference frame is quantized by using structural similarity indexes (from brightness, contrast and structural three-dimensional measurement), and a bucket index is determined; and judging whether a bucket corresponding to the bucket index has a candidate key frame, if not, storing a non-first-frame picture, and if yes, discarding the non-first-frame picture. And finally, sorting the candidate key frames in all buckets in an ascending order according to bucket indexes of the buckets to obtain a final key frame sequence, distinguishing'different pictures' by simulating human eyes, automatically skipping similar frames from continuous video frames, and screening out frames capable of representing picture core changes to compress data volume and retain key information. Key frame extraction can be carried out by considering behavior semantics and time sequence dynamic characteristics, so that the performance of a behavior analysis task is improved.

The invention discloses a high-brightness large-viewing-angle top-mounted POP laminating film for a display, and belongs to the technical field of display equipment. The high-brightness large-viewing-angle upper POP laminating film for the display comprises an upper prism structure layer, a composite adhesive layer, a lower prism structure layer and a back coating layer, the prism included angle between the upper prism structure layer and the lower prism structure layer is 50 + / -4 degrees; the vertex angle of the prism cross section of the upper prism structure layer is larger than that of the prism cross section of the lower prism structure layer. A non-orthogonal design is adopted, so that a'dark area 'with fastest light attenuation avoids a corner of a'rectangular viewing angle frame' specified by a TCO test, and the brightness / contrast in the whole rectangular frame is more uniform and controllable; meanwhile, the lower prism structure layer has a better light gathering effect, the vertex angle of the upper prism structure layer is larger, the optical diffusion effect is better, the brightness is more gentle along with attenuation of a visual angle, and the problem that the brightness uniformity of the POP laminating film is insufficient is directly solved.

The invention discloses a transparency detection device for new material film processing, and relates to the technical field of optical detection, the transparency detection device comprises a base, a detection assembly and an irradiation assembly, and two ends of the top of the base are provided with supporting seats. The light intensity of the light uniformizing plate penetrating through the transparent film can be detected in the first detection groove, and the light intensity directly irradiated by the light uniformizing plate can be detected in the second detection groove, so that the equipment can detect the transparency of the transparent film by comparing the intensity of the same light beam; the light intensity detected by the first photosensitive detector is lower than the light intensity detected by the second photosensitive detector, and the same light source is adopted for comparison detection in the design, so that the situation of uneven light intensity caused by various problems such as voltage, light source brightness and service life when double light sources are adopted for brightness comparison is avoided; and the situation of misjudgment caused by light intensity drop due to light source brightness and voltage when a single light source is adopted for detection can also be avoided.

A display method and an electronic device. In the present application, when displaying a picture, an electronic device can acquire a capture environment illuminance of the picture, a brightness of a first grayscale of the picture in a capture environment, and the current viewing environment brightness. On the basis of the capture environment illuminance, a display screen brightness in the capture environment, and the current viewing environment brightness, the electronic device can determine a brightness of the first grayscale of the picture displayed on a display screen in a viewing environment. When displaying the picture, on the basis of the determined brightness of the first grayscale of the picture in the viewing environment, the electronic device sets a brightness corresponding to each grayscale value in the picture. In addition, the electronic device can also acquire a brightness compression curve of a high dynamic range region in the picture, and perform tone mapping on the basis of the brightness compression curve to restore the brightness contrast of pixel points in the high dynamic range region in the picture. Thus, a picture displayed by an electronic device has a higher contrast in a highlight region and is more realistic.

The invention relates to the technical field of recycling and sharing, and discloses a recycling and sharing method, system, equipment and medium for garbage recycling and sharing equipment, and the method comprises the steps: collecting a garbage throwing comparison image and gravity sensing data, and extracting the brightness signal-to-noise ratio feature of the garbage throwing comparison image; performing brightness contrast enhancement on the garbage throwing contrast image according to the brightness signal-to-noise ratio feature to obtain an enhanced contrast image; identifying a garbage target area in the enhanced comparison image, and identifying a garbage throwing category according to the garbage target area; and garbage recycling data and shared recycling income are calculated according to the garbage throwing type and the gravity sensing data. Through the implementation of the invention, the image definition of the garbage throwing comparison image can be improved, the details are clearer, the interference of the existing garbage on the garbage throwing category can be eliminated through the garbage target area, and the garbage throwing category can be identified more accurately, so that the utilization rate and the accuracy of garbage recycling equipment are effectively improved.

The invention belongs to the technical field of image processing, and discloses a driving image night vision enhancement method and system based on an atmospheric scattering model. Comprises: acquiring a night driving image; performing inversion operation on each color channel of the night driving image according to pixels to obtain an inversion image; calculating a minimum channel graph, and performing morphological opening operation on the minimum channel graph to obtain a dark channel graph; obtaining approximate transmissivity according to an atmospheric scattering model, and performing optimization to obtain corrected transmissivity; restoring the inverted image to obtain a defogged restored image; constructing a region division template, performing local denoising in a region division manner, fusing denoising results of each region, and outputting a driving optimization image; performing reverse inversion and brightness, contrast and color adjustment processing on the optimized driving image to obtain a final enhanced image; according to the method, the night driving image is effectively enhanced based on the atmospheric scattering model in combination with the morphological opening operation, and the safety and reliability of night driving are effectively improved.

The invention discloses a method and system for improving backlight brightness and brightness contrast of a low-partition liquid crystal display television, a smart television and a storage medium, and relates to the technical field of smart televisions, the method comprises the following steps: obtaining brightness input data of each partition of a current picture, and calculating the brightness sum and average brightness AVG of all the partitions; by taking the average brightness AVG as an intermediate point, adjusting the brightness of the subareas to obtain an adjusted brightness array of each subarea and the adjusted brightness sum of the subareas; calculating and compensating the partition data by using a gain factor of the current picture to obtain compensated partition brightness; and adjusting the current value and the duty ratio of the subarea according to the compensated subarea brightness, and transmitting the current value and the duty ratio to a backlight driver to realize updating of the backlight brightness. The brightness contrast is enhanced by lowering the backlight value of the low-brightness partition and improving the backlight value of the high-brightness partition, the subjective brightness is improved by lowering the current and improving the duty ratio, and the backlight brightness and the brightness contrast of a low-partition machine can be effectively improved.

A system can automatically adjust a virtual background used by a participant in a video conference to match lighting level conditions present in a foreground of a participant video stream captured at a participant device. The matching can be done by adjusting one or more virtual background parameters, including but not limited to, exposure, brightness, contrast, and ISO. In some implementations, the system can dynamically or automatically adjust the lighting levels of the virtual background based on changes that may occur to the lighting level of the foreground during the video conference.

The application discloses a kind of for white body welding line's glue quality visual detection method and system, it is related to industrial vision detection technical field, including, after white body enters welding detection station, obtain station ID, serial number and white body model, establish PLC session and load expected camera set, receive the image of glue area that multi-camera acquisition and update arrived camera set, when arrived camera set covers expected camera set and does not time out, determine effective camera and trigger controlled parallel detection;In controlled parallel detection, the image of glue area of each effective camera is carried out brightness, contrast, definition and noise self-evaluation, and generates image quality self-evaluation result.The application is realized by PLC session, expected camera set and arrived camera set that the collection control of multi-camera acquisition and detection trigger is triggered, reduces the problem that image and determination result do not match.

This application discloses a method and system for visual defect detection in surface mount technology (SMT) manufacturing, relating to the field of visual inspection technology. The method includes the following steps: acquiring characteristic information of the light response of each component on a printed circuit board (PCB); determining the lighting configuration of the area where each component is located based on the characteristic information; switching lighting conditions according to the lighting configuration within a single inspection cycle and acquiring multiple original images of the PCB; performing a fusion process on the multiple original images, including evaluating the brightness, contrast, and saturation of each pixel in the multiple original images to obtain evaluation results, assigning fusion weights to each pixel in the original images based on the evaluation results, and performing weighted fusion of the multiple original images according to the fusion weights to generate a composite image; extracting defect information of each component based on the composite image and determining defects based on the defect information. This application can accurately identify and determine real manufacturing defects, reducing false alarm rates and false negative rates.

This invention provides a wafer defect detection method, system, and electronic device, relating to the field of machine vision technology. The method fully utilizes the transformation relationship between the imaging unit and the stage to accurately stitch together strip images during wafer defect detection, thereby obtaining high-precision wafer images and improving wafer detection accuracy. Simultaneously, an improved VAE model can be used to accurately obtain the defect area of ​​the wafer under inspection based on brightness, contrast, and structural differences, enabling high-precision identification of minute defects, thus solving the problem of poor detection performance of minute defects in existing technologies.

The invention discloses a projection brightness adjusting method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a target image containing a projection picture, and dividing the target image into a projection region and a non-projection region; acquiring first brightness of the projection area, and acquiring second brightness of the non-projection area; determining a target brightness level suitable for the current projection environment according to the first brightness and the second brightness; and adjusting the picture brightness of the projection picture according to the target brightness level. According to the method, the brightness comparison between the projection area and the surrounding environment is fully considered, the actual effect of the projection picture and the ambient light intensity can be accurately distinguished by analyzing the brightness of the projection area and the non-projection area at the same time, and the brightness misjudgment caused by the change of the ambient light is effectively avoided.

The invention relates to an image tone mapping processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining YUV data of a to-be-processed image; determining a brightness compression function according to a Y channel parameter of each pixel in the YUV data; the Y channel parameter is used for indicating the brightness of an image to be processed; compressing a Y channel parameter of each pixel in the YUV data according to the brightness compression function to obtain a compressed Y channel parameter; performing data stretching on the UV channel parameter of each pixel in the YUV data to obtain a stretched UV channel parameter; the UV channel parameter is used for indicating the chromaticity of the to-be-processed image; and according to the compressed Y channel parameter and the stretched UV channel parameter, obtaining a tone mapping image of the to-be-processed image, thereby realizing compression of a brightness dynamic range, and enhancing the brightness contrast and chrominance contrast of the image.

The invention discloses a deep learning image quality enhancement method based on adaptive local brightness enhancement and contrast balance, relates to the technical field of image processing, and aims to solve the problem of coexistence of extreme brightness difference and multi-scale features in a power equipment detection scene and realize adaptive dynamic balance of brightness of a discharge area and accurate enhancement of contrast of a non-discharge area. Through deep learning optimization in combination with discharge physical semantic features, discharge branch angles, light spot gradient distribution and other defect diagnosis key information are intelligently reserved in the enhancement process, and the limitation that a traditional algorithm is only based on gray statistics is broken through; the end-to-end adaptive adjustment strategy can dynamically configure the local brightness according to the real-time feedback of the discharge image, the contrast enhancement and the collaborative weight of deep learning optimization, and effectively solves the detection pain point of strong light spot overflow-dark region blurring. Practical application shows that the method significantly improves the quality of the partial discharge optical image.

This invention relates to the field of display screen technology, specifically to a production and testing system for a full-color composite glass substrate display screen. First, it simulates full-spectrum natural light at different times within a controlled comprehensive environmental simulation chamber, collecting optical response data. Then, it analyzes brightness and contrast characteristics, temperature drift response under temperature cycling, and establishes a light-temperature coupling model to identify sensitive areas. For high-risk areas, it conducts splicing visual continuity testing, and screens severely defective areas for accelerated aging tests. Finally, it determines the failure risk through a sealing reliability assessment model and classifies environmental tolerance into three levels based on optical performance degradation data and risk level. This system integrates multi-physics field collaborative simulation, high-precision data acquisition, and intelligent algorithm analysis to achieve comprehensive testing of the display screen's optical performance, thermal stability, splicing consistency, and sealing reliability, providing precise quality judgment criteria for different application scenarios.

An inspection system (100) for inspecting a lighting device (150) during an assembly process of the lighting device; wherein the lighting device comprises a substrate (153) and a plurality of components (155) mounted on the substrate; wherein the inspection system comprises: a light source (120) arranged for illuminating the lighting device according to a first light output spectrum to provide a luminance contrast between the substrate and the plurality of components; an imaging unit / camera (130) arranged for capturing a first image of the illuminated lighting device; a controller (110) comprising a processing unit for determining a luminance contrast measure of the captured first image; wherein the processing unit is further arranged for adjusting the first light output spectrum when the luminance contrast measure of the captured first image exceeds a threshold value, and wherein the imaging unit is further arranged for capturing a second image of the lighting device illuminated according to the adjusted first light output spectrum; and wherein the controller further comprises: a comparison unit arranged for comparing the second image with a reference image; a determination unit arranged for determining a defect in the substrate and / or in the plurality of components based on the comparison.

The application provides a target and background brightness contrast measurement method and device, the method comprising: taking pictures of the target and the background respectively, converting the RGB value of each pixel in the target picture and the background picture into the Y value in the CIE-XYZ spectral tristimulus value to obtain a target Y value graph and a background Y value graph, dividing the target into N regions according to the target Y value graph, dividing the background into N sub-regions according to the background Y value graph, selecting a point in each sub-region of the target and the background respectively, measuring the brightness coefficient of the point through multi-angle and multiple times and calculating the average value, weighting the average brightness coefficient in each sub-region of the target and the background through area to obtain a target brightness coefficient calculation value and a background brightness coefficient calculation value respectively, and calculating the brightness contrast of the target and the background according to the target brightness coefficient calculation value and the background brightness coefficient calculation value. The application improves the accuracy of the point measurement and the area measurement of the brightness coefficient, thereby improving the accuracy of the target and the background brightness.