15 results about "Color edge" patented technology

The invention relates to the technical field of medical image processing and artificial intelligence, in particular to a skin cancer risk assessment method and system combining a vision and language model, and the method comprises the steps: collecting lesion images, extracting color edge textures, numbering abnormal regions, reading medical records, extracting symptom and time information, recombining semantic contents, matching image-text regions, and fusing expression fragments. And extracting continuous features, generating a combined sequence, mapping image-text contacts, and outputting a skin cancer risk identification result. According to the method, color jump and edge closure are dynamically read through a sliding area, a lesion area is marked, the structure capture granularity is improved, medical records are rearranged, symptom and time information is extracted, expression coherence is enhanced, the structure jump and symptom fragment blocks are compared, image-text mapping is established, and evolution consistency is guaranteed through sequence arrangement; boundary and disease course docking is clear in risk affiliation, and identification precision is improved.

The application provides a kind of park lane line perception method and system based on multi-source data fusion and prior map constraint, it is related to map and positioning navigation technical field, this method includes: collecting multi-source data and pre-processing image;Extract color, edge and semantic feature for weighted fusion, generate candidate lane line heat map;Obtain high-precision map prior information and project to image coordinate system, spatial screening is carried out to candidate point;Adaptive model fitting is carried out to effective point set, and lane line observation value is obtained;Kalman filtering tracking and prediction are carried out in combination with vehicle kinematic model;Comprehensive multi-dimensional index calculates confidence and carries out hierarchical processing.The application improves the detection robustness in complex environment by multi-feature fusion, uses map prior to carry out flexible constraint to eliminate noise, introduces motion tracking to ensure continuity when shielding, and realizes abnormal response through confidence evaluation, effectively solves the perception problem caused by unclear park lane line feature and variable environment.

The application provides a pixel rendering method, system and display panel, and belongs to the technical field of display driving. First, original image data of each frame of image is acquired. Then, a pixel to be compensated and a color borrowing sub-pixel are determined according to the original image data, a first original gray value of the pixel to be compensated and a second original gray value of the color borrowing sub-pixel are acquired, and a color borrowing weight is generated according to the first original gray value and the second original gray value. Finally, the first original gray value is adjusted to obtain a first color borrowing gray value according to the color borrowing weight, the second original gray value is adjusted to obtain a second color borrowing gray value, and the pixel to be compensated and the color borrowing sub-pixel are driven by using the first color borrowing gray value and the second color borrowing gray value. In this way, the brightness connection and color mixing effect between the pixel to be compensated and the color borrowing sub-pixel are better, and the phenomenon of color edge, arc edge transition difference and the like is not prone to occurring at the color edge of the image, so that the display effect of the display panel is improved.

In various examples, processing pipelines for removing artifacts from images are described herein. Systems and methods are disclosed that use one or more multi-pass techniques to identify and process areas in an image that have artifacts. For instance, using a series of forward passes, the image is processed to generate multiple levels of images, where the levels of images are used to identify at least areas of the original image that include artifacts and areas of the original image that include true color edges. Next, using a series of backward passes, processing is performed on color values associated with the areas that include artifacts to determine new color values for the pixels within the areas. In some examples, dithering may then be performed on the new color values to distribute errors in quantization across the pixels and remove the artifacts.

In order to solve the problem of motion blur caused by sea wave motion interference in the recovery task of offshore unmanned ship, an unmanned ship visual image local deblurring method based on adaptive weight is designed. First, on the basis of the motion blur restoration algorithm, the color clustering module is added to fuse the attention mechanism for the color and edge features of the recovery cabin, so as to distinguish the target and background areas. Secondly, in the training process, dynamic adaptive weight is used, the weight of the target area and the global area is adjusted according to the restoration quality of the target area during training, and the aggregation loss function is used in combination with the dynamic weight to improve the model training quality, so that the quality of the target area is significantly improved while the global quality is considered. Finally, the model is lightened by using distillation training. The application focuses on reducing the extraction quantity of non-target features, improving the extraction efficiency of the network for target features in the picture, and using the method of distillation training to lighten the model and improve the speed of the algorithm in processing blurred pictures.

The application discloses a pixel arrangement structure, a mask and a display panel. The pixel arrangement structure comprises: pixel units arranged in an array; the pixel unit comprises sub-pixels of different colors, each of the sub-pixels comprises two sub-parts arranged oppositely, and the two opposite sub-parts have a spacing area therebetween, and the two sub-parts in the same sub-pixel are symmetrically arranged about the spacing area; the extension directions of the spacing areas in the sub-pixels of the same color are the same, and the extension directions of the spacing areas between the sub-pixels of different colors are different. The extension directions of the spacing areas between the sub-pixels of different colors are different, so that the extension directions of the sub-pixels of different colors are avoided from being the same, the sub-pixels in the pixel unit are more uniformly distributed, the step-shaped sawtooth of a line displayed by the sub-pixels in a certain direction is avoided, the monochromatic pixels at the boundary are prevented from protruding to form a color edge, and the display quality is improved.

The present disclosure provides a pixel unit, a pixel repeating arrangement unit and a display panel. The pixel unit comprises two first sub-pixels, two second sub-pixels and one third sub-pixel. The preset light-out colors of the first sub-pixel, the second sub-pixel and the third sub-pixel are different. The two first sub-pixels and the two second sub-pixels are distributed around the third sub-pixel, and the two second sub-pixels are located on both sides of a straight line determined by the centroid of the two first sub-pixels. The pixel unit with the above structure can help to alleviate the problem of sawtooth and color edge in the displayed image.

The invention relates to the technical field of underwater sound measurement and calibration, in particular to a hydrophone visual positioning algorithm based on color fusion, which comprises the following steps: acquiring RGB images of a hydrophone and a vibrating diaphragm; converting the image into a Lab color space, and separating brightness and chrominance information; respectively carrying out edge detection on the brightness channel and the chrominance channel; a fusion weight is dynamically calculated according to the edge intensity of each channel, weighted fusion and logic optimization are carried out on multi-channel edge detection results, and brightness and color edge features are comprehensively utilized; performing morphological processing on the fused edge to optimize the contour quality; according to the method, the integrity and the accuracy of edge detection are enhanced by fusing color information, personal errors are eliminated, high precision of visual positioning in the hydrophone calibration process is realized, and the overall performance and the reliability of a calibration system are improved.

The invention discloses a splicing display device and display equipment, belongs to the technical field of display, and aims to at least solve the technical problem that color edges appear at splicing seams of the splicing display device. The splicing display device comprises a plurality of first display panels and second display panels, a first splicing seam extending in the second direction is arranged between every two adjacent first display panels arranged in the first direction, and the second direction intersects with the first direction. Each first display panel comprises a plurality of first pixel units which are close to the first splicing seam and arranged in the second direction, and each first pixel unit comprises a plurality of pixels which are arranged in the second direction and have different light emitting colors. The second display panel covers the first splicing seam and comprises a plurality of second pixel units arranged in the second direction, and each second pixel unit comprises a plurality of pixels which are arranged in the second direction and have different light emitting colors.

In various examples, processing pipelines for removing artifacts from images are described herein. Systems and methods are disclosed that use one or more multi-pass techniques to identify and process areas in an image that have artifacts. For instance, using a series of forward passes, the image is processed to generate multiple levels of images, where the levels of images are used to identify at least areas of the original image that include artifacts and areas of the original image that include true color edges. Next, using a series of backward passes, processing is performed on color values associated with the areas that include artifacts to determine new color values for the pixels within the areas. In some examples, dithering may then be performed on the new color values to distribute errors in quantization across the pixels and remove the artifacts.

A display device includes pixels having different arrangements of subpixels and reducing a color edge. The display device includes a display unit where a plurality of first pixels including subpixels of three colors and second pixels including subpixels of the three colors are alternately arrayed in row and column directions, an arrangement of the subpixels in the first pixel and an arrangement of the subpixels in the second pixel differing from each other, and a luminance allocation unit allocating luminance of a subpixel of a first color among the three colors in the first pixel to a subpixel of the first color in the second pixel adjacent to the first pixel with a predetermined ratio and allocating luminance of the subpixel of the first color in the second pixel to the subpixel of the first color in the first pixel adjacent to the second pixel with a predetermined ratio.

The invention discloses a security and protection video image enhancement method under a complex illumination condition, particularly relates to the field of image processing, and is used for solving the problems of color edges, chessboard textures and time sequence flicker artifacts caused by interlacing of multiple light sources and line-by-line exposure in a city night security and protection video. The method comprises the following steps of: reading a video frame to calculate an inter-line phase difference and sub-pixel response consistency to generate a line phase diagram and a consistency diagram, caching the line phase diagram and the consistency diagram, executing cross-channel interlaced sampling and comparison under the guidance of a structure edge to generate a color interlaced diagram, positioning a suspected core, and aligning the suspected core with the line phase diagram; checking and generating a time sequence scintillation graph along a time axis, correcting a scintillation period and giving credibility marks by using a row phase graph, fusing and outputting an artifact region graph and a reconstruction guide graph in an edge domain, and sending a suppression prompt constraint subsequent frame; fine adjustment is carried out in a preselected area according to edge steady state and text confidence verification to generate an artifact mask and a priority sequence, and a verification record is written back to serve as initialization information.

The embodiment of the invention provides a color edge correction method and device, an image signal processor and image acquisition equipment, and the method comprises the steps: determining whether pixels are edge pixels or not based on a pixel matrix corresponding to the pixels of an image; under the condition that the pixel is an edge pixel, determining a reference pixel of the pixel according to the edge direction of the pixel; the reference pixel is a non-edge pixel, and the distance between the reference pixel and the edge pixel is smaller than a preset distance threshold value; and correcting the pixel value of the pixel according to the reference pixel of the pixel. Based on the characteristic that the color edge is usually accompanied by a strong edge, the color edge is detected in an edge detection mode, and based on an edge detection result, a normal pixel located near a color edge area is searched as a reference pixel to correct the color edge, so that more accurate correction can be realized.

The application provides a display system, a display device and a display method, and relates to the technical field of projection display. The display system comprises a driving module and a display module. The driving module comprises a target-like image extraction marking module, a time sequence color separation module and a time sequence output module. The display module comprises a backlight time sequence control module and a pixel circuit module. The target-like image extraction marking module is used for extracting a target-like image from a color video source. The time sequence color separation module is used for time sequence separation of the color video source to obtain a plurality of sets of subframes. The time sequence output module is used for outputting each set of subframes in sequence. The pixel circuit module is used for displaying the target-like image and each monochrome subframe. The backlight time sequence control module is used for adjusting the backlight of the plurality of monochrome subframes and / or the target-like image. The application reduces color ghosting at the color edge, makes the display clearer, improves the visual experience and reduces visual fatigue.

The application provides a method and system for infrared image edge enhancement, comprising: converting an original infrared image into a gray image; converting the original infrared image into an original edge image through a preset edge detection algorithm; performing filtering processing on the original edge image to obtain a smooth edge image; adding pseudo color to the smooth edge image to obtain a color edge image; and fusing the gray image and the color edge image to obtain an edge enhanced image. The gray image does not display color information but only displays brightness information, so that the edge of the image can be obviously displayed by fusing the color edge image on the gray image, thereby achieving the effect of image edge enhancement.