252 results about "Color contrast" patented technology

The invention provides an industrial part defect detection method, which comprises the following steps: acquiring an input industrial part burr defect image, extracting the shape, size and distribution position characteristics of burrs in the image to obtain a burr characteristic pattern, segmenting a burr defect region according to the edge roughness and color difference in the burr characteristic pattern, and generating a binary burr defect mask; performing morphological operation on the binarized burr defect mask, eliminating isolated noisy points through expansion and corrosion, connecting adjacent burr areas, segmenting the processed burr mask, and extracting independent burr defect areas according to the three-dimensional contour and surface texture features of burrs; performing image enhancement processing on the preliminary verification code character matrix, adjusting the color contrast of characters to highlight the thickness of character strokes, and generating a verification code image; and carrying out compression and format conversion on the generated verification code image to obtain a final industrial part burr defect verification code which is used for defect detection of workpiece parts.

The invention relates to the technical field of medical endoscope imaging, and discloses an endoscope image correction method and electronic equipment, and the image correction method comprises the steps: obtaining an original image collected by an imaging unit, the original image comprises a first color channel for representing first human tissue characteristics and a second color channel for representing second human tissue characteristics; performing edge attribute marking on pixels in the original image according to the first color channel and the second color channel to obtain a plurality of to-be-processed pixels with edge attribute marks; performing color contrast correction on the to-be-processed pixels according to the edge attribute mark corresponding to each to-be-processed pixel and the relationship between the edge attribute marks to obtain a corrected image; according to the invention, in the specific illumination mode, the colors corresponding to the to-be-processed pixels representing the first human body tissue characteristics and the second human body tissue characteristics are enhanced, so that the color differentiation between different tissues in the specific illumination mode can be highlighted.

The invention relates to the technical field of image enhancement, in particular to a face on-duty monitoring terminal based on temperature sensing analysis, which comprises an image acquisition module used for acquiring an infrared image in a monitoring area to obtain a grayscale image corresponding to the infrared image; the image partitioning module is used for partitioning the grayscale image into a plurality of small blocks; the block analysis module is used for acquiring internal pixel point distribution characteristic values and neighborhood block distribution characteristic values of the small blocks; the threshold value correction module is used for obtaining an adaptive enhancement degree according to the internal pixel point distribution characteristic values and the neighborhood block distribution characteristic values of the small blocks, and obtaining an adaptive color contrast threshold value according to the adaptive enhancement degree of the small blocks; and the image monitoring module is used for obtaining an enhanced image according to the self-adaptive color contrast threshold value of each small block, performing face on-duty monitoring according to the enhanced image, and improving the image enhancement effect by self-adaptively correcting the clipLimit parameter of each small block.

The invention relates to the technical field of digital televisions, in particular to an intelligent recommendation remote propaganda and distribution system, which comprises a content analysis module for calculating a movement speed value, a color contrast value and a texture complex value in a video picture and generating a scene feature index. According to the method, the motion speed value, the color contrast value and the texture complex value in the video picture are refined, the scene feature index is comprehensively generated, and the regional importance matrix is generated in combination with the regional division information, so that the characteristics and priorities of different video regions are analyzed, and the resource allocation has dynamic adaptability; and the configuration of the code rate and the resolution ratio is optimized in a targeted manner. Through real-time acquisition and spatial mapping of the user sight direction and the head motion data, the user view range is generated and is subjected to superposition calculation with the regional importance matrix, so that regional resource allocation can focus on the region of interest of the user, and the pertinence and effectiveness of content delivery are improved.

The invention discloses an image defogging method, device and equipment based on a diffusion model, and the method comprises the steps: inputting a to-be-processed foggy image into a VAE image encoder, and obtaining an original image latent code; inputting the foggy image into a depth feature extractor to obtain depth features; inputting the description text into a text encoder to obtain text features; inputting the original image latent code, the depth feature and the text feature into a UNet de-noising device to obtain a de-noised latent code; and inputting the de-noised latent codes and the depth features into a VAE image decoder, and outputting a defogged fogless image. Visual information of an image, depth-of-field structure information of depth and semantic information of a text can be fully utilized, so that the defogging process is guided more accurately, and the defogging effect and color contrast reality of image defogging are improved.

The invention relates to the technical field of video communication, in particular to an intelligent AI glasses video call auxiliary system which comprises a visual adjustment module, a voice interaction module, a communication scheduling module, a posture recognition module and a feedback prompt module. According to the invention, by acquiring the eye movement track and the pupil diameter change, adjusting the image brightness and the color contrast in combination with the ambient light, relieving visual fatigue, enhancing the call comfort, analyzing the voice frequency band and matching the keywords, the accurate recognition of the operation intention is realized, the call response efficiency is improved, and the mistaken touch and delay are avoided; the call priority is judged according to the action state, the acceleration trend and the contact person weight, the task access accuracy is improved, the user intention is judged according to the head posture and the sight line trend, misoperation and repeated confirmation are avoided, interaction convenience is enhanced, meanwhile, the audio intensity and image prompt are regulated and controlled according to the task type and the prompt level, the multi-environment prompt requirement is met, and the user experience is improved. Information omission is reduced, and call experience is optimized.

To provide a micro-optical security device having zones of color.SOLUTION: A micro-optical security device (100) with zone-by-zone color transitions includes: a planar array of light collecting elements (140); and a pictorial icon layer (120) with a plurality of retaining structures (710) defining isolated volumes at a first depth within the pictorial icon layer. The security device further includes a first zone (350) of pictorial icons, the first zone of pictorial icons having a first predetermined subset of the plurality of retaining structures comprising a hardened colored material of a first color. The micro-optical security device also includes a second zone (360) of pictorial icons comprising a second predetermined subset of the plurality of retaining structures, the isolated volumes of the retaining structures of the second predetermined subset of the plurality of retaining structures comprising a hardened colored material of a second color, the second color contrasting with the first color.SELECTED DRAWING: Figure 1

The invention discloses a binding mode matching method based on multi-dimensional text analysis, particularly relates to the field of document processing and binding, and comprises a binding effect information acquisition step, a data standardization processing step, a binding effect comprehensive analysis step, a binding effect comprehensive judgment step and a man-machine interaction step. According to the method, a comprehensive evaluation system is constructed for the reading experience dimension, besides basic opening and closing angles and browsing resistance are considered, refined indexes such as page friction uniformity and binding structure elasticity modulus are introduced, targeted browsing experience optimization schemes can be provided for different types of documents through the refined indexes, and the method has the advantages of being high in practicability and easy to popularize. In the aspect of visual comfort evaluation, key parameters such as character gray scale consistency, color contrast stability and reflective glare index are respectively measured by using advanced tools such as a gray scale instrument, a spectrophotometer and a glossmeter, so that the problem that only the reading experience can be roughly judged in the prior art is effectively solved.

The invention discloses a deep transfer learning-based medical image classification model training method and system, and relates to the technical field of medical classification. Comprising the following steps: acquiring an intestinal medical image with known feature information and environmental parameters thereof, and performing image preprocessing to generate a training data set; the feature information comprises texture entropy, edge contour, color contrast, shape area and circularity. Normalization and sliding window filtering are performed on the environmental parameters to construct humidity, illumination and vibration influence functions. Thirdly, a first classification model and a second classification model are established, pre-training is carried out through deep transfer learning, and the learning rate is dynamically adjusted based on the environmental influence parameters; and finally, inputting the to-be-identified intestinal medical image and the environmental parameters thereof into the training model to obtain the corresponding image type and focus type, thereby improving the automation level of medical image analysis, and helping to assist doctors in more scientific and accurate diagnosis.

The dotted / dashed lines shown in the reproductions indicate the unclaimed portions of the designs; the shading in the designs is intended to illustrate the shape of the designs; the gray shading in designs 1 and 2 illustrate color contrast, not surface ornamentation or a particular color.

The application discloses a device for detecting crack defects of porcelain insulators and relates to the technical field of defect detection. The device aims at the problem of poor crack recognition effect when the existing crack detection device of the porcelain insulator adopts optical detection technology. The device comprises a box body, a fixed plate is fixedly connected to the upper side of the box body, and a containing box is arranged on the upper side of the fixed plate. The device has the advantages that the insulator body with a higher heating rate than normal temperature can be immersed into normal-temperature photochromic paint in the immersion tank, the cracks on the insulator body are caused to move away by thermal expansion and cold contraction, the paint is sucked into the cracks after the insulator body is cooled, the paint in the cracks is caused to change color when the ultraviolet lamp irradiates the insulator body, the color contrast between the cracks and the insulator body is obviously increased, the recognition effect of the high-definition camera is improved, and the recognition and detection efficiency and accuracy of the device are improved.

The invention relates to the technical field of data processing, and discloses a visual large-screen dynamic display method and system based on data driving, and the method comprises the steps: collecting business scene demand data, generating a display logic configuration instruction, and setting a display content type, a spatial layout and an interaction mode; the calling data interface is connected with a background storage system and obtains service data in real time through the data stream processing module; performing time sequence analysis, sliding window detection and association rule calculation on the data to obtain a freshness index, an abnormal fluctuation parameter and a coupling degree, and judging whether abnormal fusing is triggered or not; performing exception filtering and standardization on the processed data, mapping the processed data into a graph data structure, optimizing layout through the Fresnel's law, adjusting color matching through a color contrast algorithm, and generating a chart graph; and dynamically refreshing the interface by the rendering engine. According to the method, on-demand customization and dynamic adaptation are realized, and the influence of wrong data on the accuracy of a large screen is avoided.

The invention relates to the technical field of visual information detection, and discloses an identification information content intelligent detection method based on visual ergonomics. The method comprises the following steps: acquiring identification visual data, and obtaining a high-resolution image of a target identification and related environmental parameters; based on the collected data, extracting visual ergonomics characteristic functions including brightness distribution, color contrast and text definition indexes; constructing a self-adaptive detection model framework by utilizing the characteristic functions; and performing iterative optimization on the model framework according to a performance objective, operation limitation and environmental constraint of the detection task: inputting feature representation and outputting a detection result evaluation value, performing content compliance analysis on the evaluation value to generate a deviation metric value, judging whether the deviation metric value reaches a preset stable condition or not, and if so, outputting a final detection conclusion, and if not, adjusting the internal parameters of the model and repeating the process until a preset stable condition is met. The method can realize intelligent detection of the identification information.

The invention relates to the technical field of image recognition, in particular to a wheelchair following target recognition method based on deep learning, which comprises the following steps of: calculating a gradient statistical value and a color contrast value of each pixel neighborhood based on an original video frame of a wheelchair visual angle, and obtaining a contrast active value of a local area; and adjusting a space coefficient of Gaussian filtering and a scaling factor of a reflection component based on the contrast active value of the local region, and combining with an illumination component to obtain an image frame after illumination compensation. According to the method, the neighborhood gradient statistical value and the color contrast value are calculated pixel by pixel for the image frame, the activity degree of local area details in the image is improved, meanwhile, the space parameters and the reflection component scaling factor of Gaussian filtering are dynamically adjusted according to the activity degree of the local area details, and the illumination compensation effect of the image is finer and more accurate.

The invention provides pigment ink for a medical film, which comprises a color developing agent, the color developing agent comprises a first color developing agent, a second color developing agent and a third color developing agent, the first color developing agent is pigment, the second color developing agent is rare earth doped zirconium oxide, and the third color developing agent is nano carbon black; the first color developing agent accounts for 3%-10% of the pigment ink by mass, the second color developing agent accounts for 5%-10% of the pigment ink by mass, and the third color developing agent accounts for 2%-8% of the pigment ink by mass. The pigment ink disclosed by the invention contains three color developing agents, and the three color developing agents are combined to improve the image color contrast and definition of the color developing agents on a blue PET (Polyethylene Terephthalate) film.

This invention relates to the field of medical image processing, specifically to a skin scar image segmentation method for automated skin scar region identification and quantitative analysis. It addresses the problems of low segmentation accuracy, inaccurate boundary modeling, and unreliable quantization calculations caused by insufficient feature representation, weak generalization ability, and reliance on manual intervention in existing methods. The method includes: S1 acquiring a skin scar image; S2 inputting a trained improved SAM2 segmentation network; and S3 outputting a segmentation mask. The improved SAM2 network is trained by constructing and preprocessing a dataset; it includes a frozen-parameter backbone image encoder, a cue encoder, a medical image feature guidance module (extracting texture details, color contrast, and edge morphology features), a residual enhancement module (fusing general features, cue vectors, and medical features through residual connections), and a mask decoder. During training, the backbone network parameters are frozen, and only the cue encoder, medical feature guidance module, residual enhancement module, and mask decoder are fine-tuned.

The invention discloses a color-changeable TPU (thermoplastic polyurethane) film as well as a preparation method and application thereof, and belongs to the technical field of intelligent high polymer materials. The TPU film comprises a thermoplastic polyurethane (TPU) matrix, a color change response system, an interface stabilizer and a functional additive. The color-changing response system comprises at least two different types of color-changing materials, so that multiple environmental stimulus response color changing, such as temperature and light dual response, is realized. The film has the characteristics of sensitive color change response, high color contrast, good color change reversibility, excellent fatigue resistance, high mechanical property retention rate and the like. Through formula and process optimization, the technical problems that a single color-changing material is insensitive in response, low in color-changing contrast ratio, poor in durability and poor in compatibility with a TPU matrix are solved. The TPU film prepared by the invention can be widely applied to the fields of intelligent wearing, safety anti-counterfeiting, dynamic decoration, sensor indication and the like.

Dynamic extraocular filtering is a correction method to improve color contrast recognition in color vision deficient observers (non-normal color vision). This method is based on actively controlling wavelength spectrum transmission to retinal photoreceptors, introducing a temporal contrast that is interpreted as color contrast by the observer. The method functions by utilizing an active filter that produces several filter conditions which change at a high frequency. This method changes filter conditions dynamically as opposed to current systems which rely on static band-stop filters.

The application provides a kind of unmanned aerial vehicle control method based on real night image defogging, including the pre-processing of night fog image, the preliminary defogging of image after pre-processing is carried out using dark channel prior method, obtain a plurality of intermediate results.Based on image contrast, chroma, saliency and color contrast, a scoring model is established.Each intermediate result is input into the scoring model for scoring to obtain the final score of the kth intermediate result of the ith frame of night fog image.According to the final score, generate the binary weight of each intermediate result.According to the binary weight, all intermediate results are fused using a multi-scale fusion strategy.The fusion result is post-processed to obtain the final defogging image.The binary weight is used to selectively fuse the maximum information part of each pixel point of each intermediate result.The multi-scale fusion strategy is used to prevent the generation of artifacts while maintaining high contrast, improving the success rate and efficiency of unmanned aerial vehicle in executing night scene tasks.

The invention discloses an electromagnetic shielding film and a circuit board. The shielding film comprises an insulating layer and a shielding layer, the insulating layer comprises a first protective layer, a color developing layer and a second protective layer which are stacked in sequence; the second protection layer is arranged on the surface of one side of the shielding layer; the gray value of the color of the color developing layer is greater than that of the color of the first protective layer; the absolute value of the difference between the glossiness G1 of the surface of the side, close to the color developing layer, of the second protective layer and the glossiness G2 of the surface of the side, close to the first protective layer, of the color developing layer meets the condition that G1-G2 is larger than or equal to 0 and smaller than or equal to 45, and the light transmittance of the second protective layer is smaller than 40%. When the developing layer forms a hole or is broken down in the technological processes of laser engraving, ablation, mechanical punching and the like, the second protective layer and the first protective layer can still be utilized to form obvious bright and dark color contrast, so that the integrity and definition of the identification code are guaranteed.

An absorbent article has a chassis having an outer cover at least in part defining the outer surface of the article, a pair of ears extending transversely outward from opposite sides of the chassis, and a fastening system comprising a primary fastening system and a secondary fastening system. The secondary fastening system includes a secondary second fastening component located on each of the ears and a corresponding secondary first fastening component located on the outer surface of the article at a first waist portion. A ΔE value calculated using the Color Contrast Test between the secondary first fastening components uncovered by the ears and the outer cover being greater than 20.

The invention discloses a alumen ustum image clear area screening method based on superpixel segmentation and feature classification. The method comprises the following steps: generating a definition image of an original alumen ustum image by using a Laplace operator; enhancing the color contrast of the original alumen ustum image by using the definition image; segmenting the enhanced image into a plurality of small regions by using an SLIC superpixel segmentation method, and storing segmentation boundaries of all the small regions; applying the segmentation boundary to the original alumen ustum image, filling all small areas into a minimum enclosing rectangle, and storing the position and structure information of the minimum enclosing rectangle; using a ResNet feature extraction network to perform feature extraction on the small regions obtained by segmentation; and performing definition classification on all the small areas by using a linear classifier, and returning a classification result to an original image to obtain a clear alumen ustum image. According to the method, automatic identification and screening of clear alumen ustum structures in the image are realized through image small region division and region feature discrimination.

Systems, apparatuses and methods provide technology that identifies a first color for an area, adjusts a first color space of the first color to a second color space when a predetermined condition is met, identifies a second color of text that is to overlay the area and adjusts one or more of the first color or the second color so that a contrast ratio between the first and second colors meets a threshold contrast value. The technology further modifies an original image to include the text overlaid on the area to generate an adjusted image, where the one or more of the text and the area in the adjusted image includes the adjusted one or more of the first color or the second color, and transmits the adjusted image to a user device to be displayed.

This invention proposes an auxiliary device for accurate burette reading, comprising a clamping assembly with a clamping cavity formed within it for holding the burette. The clamping assembly has a first mounting position and a second mounting position, which are opposite to each other and respectively connected to the clamping cavity. An optical component is located at the first mounting position, comprising a magnifying element and a transparent lens. The transparent lens has graduations, and the magnifying element is located between the transparent lens and the clamping cavity. A color contrast element is located at the second mounting position. By clamping the burette in the clamping cavity at its liquid level, the reading at the burette can be magnified through the transparent lens and magnifying lens at the first mounting position. The second mounting position is opposite to the first mounting position, and the color contrast element at the second mounting position acts as a background to enhance color contrast, facilitating accurate burette reading.

The present invention relates to the field of data visualization technology, specifically to a front-end vector data real-time declassification visualization system, which includes a data capture module, a real-time declassification processing module, a visual optimization module, and a visualization rendering module. In the present invention, by analyzing the actual operation behavior of the front-end user, the real-time and accuracy of data processing is achieved, and the data areas frequently accessed by the user are accurately identified, which not only improves the efficiency of data processing, but also enhances the personalization of data services, so that data decryption can be prioritized according to actual needs, combined with the display characteristics of the user's device to perform visual optimization, adjust color contrast and brightness, optimize the visual display of data on different devices, improve user experience, and dynamically adjust the rendering configuration so that smooth and high-quality visual effects can be maintained on devices with different performances, meeting the needs of rapid response and decision support.

The utility model provides an imitation gold contrast detection device for a wet electroplating metal spectacle frame, which comprises a supporting base, a colored clamping piece is arranged in a colorimetric disc, a fixing component is movably arranged on the side of the top end of the supporting base, and the fixing component consists of a rotating seat, a lighting frame and a fixing seat; according to the utility model, the rotatable fixing assembly is arranged on the side of the colorimetric disc, during comparison detection, the spectacle frame is fixed on the fixing seat at the top of the rotating seat, the middle part of the spectacle frame is pressed through the limiting cotton block at the bottom end of the limiting ring, and the two limiting clamping seats are clamped on the spectacle leg supports of the spectacle frame, so that the two ends of the spectacle frame are limited; after the spectacle frame is fixed, the fixed spectacle frame can be pushed to the colorimetric disc so as to be subjected to colorimetric comparison with the colorimetric piece in the colorimetric disc, the rotating seat can be continuously rotated so as to realize comparison with different color areas of the colorimetric piece, and due to the structural arrangement, the efficiency is higher when color comparison detection is carried out.

The invention provides a system (2.41,81) for controlling an array (281) of light sources (11-19) to render color gradient light (231,232,271), the array (281) comprising at least four individually controllable light sources. The system (2,41,81) comprising an input interface (3,43,83,89) configured to obtain at least four gradient stop colors (C1,C2,C3,C4) and a gradient contrast option; a processor (5,45,85) configured to (i) receive the at least four 5 gradient stop colors and the gradient contrast option from the input interface, (ii) determine color contrasts (CC12,CC13,CC14,CC23,CC24,CC34) between pairs (C1-C2, C1-C3,C1- C4,C2-C3,C2-C4,C3-C4) of the at least four gradient stop colors, (iii) determine a gradient stop color sequence of the at least four gradient stop colors based on the determined color contrasts and the gradient contrast option, (iv) determine a mapping of the at least four 10 gradient stop colors onto at least four light sources of the array of light sources based on the gradient stop color sequence, and a control interface (6,44,84) configured to control the array of light sources to render the gradient stop colors on the at least four light sources.

The invention discloses a cross-application double-region real-time color contrast system and method based on dynamic region high-frequency sampling. According to the system disclosed by the invention, efficient operation is realized through cooperation of a modular hardware architecture and a data stream; the screen capture module transmits full-screen pixel data to the dynamic sampling module in real time through memory mapping and a hardware acceleration channel; the dynamic sampling module is combined with a boundary protection unit and a double-buffering technology to ensure data integrity; the high-frequency sampling controller drives an interrupt signal at the frequency of 60FPS to coordinate the time sequence of each module; the real-time comparison interface module dynamically updates an interface through a frame buffer and a graphic rendering pipeline; and the multi-DPI adaptive module realizes cross-screen accurate alignment through a configuration bus and an address decoder. According to the method, through hardware interruption, DMA transmission and graphic pipeline rendering, the color correction efficiency is further improved, and the method is suitable for film and television toning, game development and industrial simulation scenes.

The utility model discloses an automobile paint color comparison device which comprises a base, a storage barrel coaxially fixed to the upper end of the base and a plurality of colorimetric cards capable of being stored in the storage barrel or displayed from the interior of the storage barrel through a display mechanism. The display mechanism comprises a winding shaft, a sliding block and a flexible display board; a winding shaft is vertically and rotatably arranged in the storage cylinder, a plurality of flexible display boards capable of being wound on the winding shaft are fixedly arranged on the surface of the winding shaft in the circumferential direction of the winding shaft at equal intervals, and a plurality of colorimetric cards made of flexible materials are evenly and detachably arranged on the two sides of each flexible display board; according to the automobile paint color comparison device, more colorimetric cards can be displayed out of the storage cylinder through the display mechanism, so that a user can find the colorimetric cards when the colorimetric cards are not used. When not used, all the colorimetric cards can be stored in the storage cylinder through the display mechanism, and the dustproof effect is achieved.

The product of this design is a 3D printer door handle; the design product can be used to manipulate the door of a 3D printer; the main points of the design are trapezoidal shape and orange color contrasting with the door.