18 results about "Abnormal Colors" patented technology

The invention discloses an underwater image enhancement method based on a fusion multi-scale jump feature generative adversarial network. The method comprises the following steps: establishing a generator of a U-net structure and a PatchGAN discriminator, and optimizing a network by combining adversarial loss, cyclic consistency loss and identity consistency loss; a multi-scale jump feature fusion module is designed, and the detail retention capability is enhanced through cross-level feature fusion and a space-channel attention mechanism; a non-paired data set is adopted for training, and generalization is improved in combination with preprocessing such as zooming, cutting and overturning; and verifying the effectiveness of the model through a non-reference evaluation index. According to the method, image enhancement under an unsupervised condition is realized, and the problems of abnormal color gamut and low definition of an underwater picture are solved.

This application discloses a method, apparatus, device, and storage medium for detecting off-color bright lines on a display panel based on CCD sensing, relating to the field of display panel detection technology. The method includes: acquiring an off-color image of the display panel under a preset color screen captured by the CCD imaging device; preprocessing the off-color image to obtain morphological feature images of different channels; performing line detection on each of the morphological feature images to obtain line feature information of different channels; and merging the line feature information of different channels to obtain a detection result. By employing multi-channel separation, morphological feature enhancement, and fusion detection techniques, this method solves the problems of uncertainty and weak contrast in existing detection methods when off-color bright lines appear under different color backgrounds, making stable identification difficult. Compared with existing technologies, it achieves high-sensitivity detection and precise positioning of off-color bright lines under different background colors, improving the accuracy and adaptability of the detection.

The application is suitable for the field of data processing, and provides an intraoral texture mapping method, device and equipment, wherein the method comprises the following steps: acquiring a multi-view image sequence collected by an intraoral scanner and camera parameters corresponding to each view image; for each triangular facet in a three-dimensional mesh model, screening qualified views capable of observing the current facet from the multi-view image sequence; based on the screened qualified views, constructing a candidate texture color set for each triangular facet; decomposing the candidate texture color set through a low-rank sparse decomposition model, eliminating abnormal color values in the candidate texture color set, and obtaining a reference color of each triangular facet; determining a target source view for each triangular facet from the qualified views according to the reference color and a view quality parameter; and performing texture mapping on the three-dimensional mesh model according to the target source views of all the triangular facets. The scheme effectively ensures the real-time effectiveness of texture mapping processing and the model reconstruction effect.

The invention discloses an objective index method for evaluating a dichroism contrast improvement condition. The method comprises the following steps: converting a normal image and a first image represented by a red-green-blue color space into a first conversion image and a second conversion image represented by a laboratory color space; obtaining an initial pixel in the first conversion image; respectively calculating the difference values of the brightness component, the red-green component and the yellow-blue component in the eyes of the person with normal color vision; target pixels which are difficult to distinguish are determined in the initial pixels according to the difference value; respectively calculating a plurality of experimental color differences in combination with the weight adjustment coefficient of the lightness difference; the plurality of experimental chromatic aberration are chromatic aberration of the target pixel in the eyes of the abnormal color vision person and the normal color vision person in the first conversion image and chromatic aberration of the target pixel in the eyes of the abnormal color vision person in the second conversion image, an objective index value corresponding to the first image is calculated in combination with a chromatic aberration value adjustment coefficient, and then an optimal image is screened out.

The invention is suitable for the field of data processing, and provides an intraoral texture mapping method, device and equipment, and the method comprises the steps: obtaining a multi-view image sequence collected by an intraoral scanner and camera parameters corresponding to each view image; for each triangular patch in the three-dimensional mesh model, screening out a qualified view capable of observing the current patch from the multi-view image sequence; constructing a candidate texture color set for each triangular patch based on the screened qualified views; decomposing the candidate texture color set through a low-rank sparse decomposition model, and removing abnormal color values in the candidate texture color set to obtain a reference color of each triangular patch; determining a target source view from the qualified views for each triangular patch according to the reference color and the view angle quality parameters; and performing texture mapping on the three-dimensional mesh model according to the target source views of all the triangular patches. According to the scheme, the real-time effectiveness of texture mapping processing and the model reconstruction effect are effectively ensured.

The invention discloses an adverse reaction dynamic monitoring and follow-up management system after chemotherapy, and relates to the technical field of data processing, and the system comprises an acquisition module which determines a to-be-monitored symptom and a corresponding target part according to a chemotherapy regimen of a patient, and receives an image of the target part; the recognition module carries out registration on the part partition map and the target part image, a reaction partition with an abnormal color block area is determined, and color block positioning points are marked; the analysis module generates a positioning acquisition frame according to the part partition to which the color block positioning points belong, receives the review part image, cuts the target part image and the review part image based on the positioning acquisition frame, and determines the point location diffusion amount; and the decision-making module determines a follow-up visit mode according to the point location diffusion amount and the partition position of the reaction partition. The patient is guided to review and shoot the same position through the positioning collection frame, the follow-up visit mode is determined in combination with the partition positions, and the accuracy of follow-up visit decision is improved.

This invention discloses a coal mine dynamic disaster sensing and alarm method based on burial characteristics. The main steps include: installing a color camera at the monitoring point in the coal mine, using a device with a distinct color difference between the coal mine and the coal and rock ejected by the disaster as the background device; when the monitoring identifies abnormal features in the color video image, such as abnormal changes in the area of ​​the abnormal color region, abnormal changes in the number of abnormal color regions, abnormal changes in the shape of the abnormal color region, abnormal burial location of the abnormal color region, or abnormal burial direction of the abnormal color region, and the average brightness of the color image is less than a set brightness threshold, then the methane concentration data of the area near the color camera is obtained; when the methane concentration increases rapidly or reaches the alarm value, a coal and gas outburst alarm signal is issued; otherwise, a rockburst alarm signal is issued.

The invention discloses a barrier-free toolbar technical scheme based on a WeChat applet, and relates to the technical field of front-end development, the barrier-free toolbar technical scheme comprises a barrier-free toolbar system, the barrier-free toolbar system comprises a theme style component, a state management module, a global configuration tool, a user interaction component and a barrier-free function component, the theme style component comprises a black.js theme style file, a blue.js theme style file, a light.js theme style file, a white.js theme style file and a tellow.js theme style file and is used for defining different color matching schemes, the state management module is used for managing states related to theme styles by utilizing a theme.js file, and according to the barrier-free toolbar technical scheme based on the WeChat applet, through the color matching switching and click screen reading functions, the color matching of the WeChat applet can be realized, and the color matching efficiency of the WeChat applet can be improved. The browsing experience of users with visual impairment and the like is obviously improved; meanwhile, slot configuration and global introduction are adopted, the workflow of developers is simplified, the technical threshold is reduced, in addition, various crowds with abnormal color vision are supported, the containment of digital products is enhanced, and the universal accessibility of Web content is powerfully promoted.

1. The name of the design product: monitoring data display and alarm prompt graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device is of conventional design, and other views are omitted. 6. The use of the graphical user interface: for the display mode and alarm prompt of the upper and lower limits of the monitoring data of a monitor; the upper limit and lower alarm prompt on the front view are marked in each area of the interface, and the upper and lower limit values are divided by a horizontal line; when the monitoring value exceeds the upper limit set by the user, enter the interface change state diagram 1 to give a global prompt, and the abnormal color of the alarm value area is prompted and flashes; when the monitoring value exceeds the lower limit set by the user, enter the interface change state diagram 2 to give a global prompt, and the abnormal color of the alarm value area is prompted and flashes.

This invention relates to the field of image processing technology, and more specifically, to a visual inspection method and system for grade sorting of molybdenum oxide products. The method includes: acquiring a color image of the molybdenum oxide product and converting the color image into a color space containing a luminance channel and at least one chrominance channel; in response to dividing the luminance value of each pixel by the corresponding initial illumination value to obtain a reflectance residual, mapping the reflectance residual to a purity confidence score. This invention first guides the construction of a pure illumination map by calculating the purity confidence score, avoiding interference from impurity pixels on illumination estimation; then, it introduces a dynamic compensation gain based on the similarity between pixel chrominance and prior chrominance, making the compensation process selective, strongly brightening shadow areas with colors consistent with qualified products, while only weakly compensating for impurity areas with abnormal colors.

1. The name of the design product: alarm line setting graphical user interface for electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device is a conventional design, and other views are omitted. 6. The use of the graphical user interface: alarm line setting for a monitor; the front view enters the interface change state diagram 1 by selecting the first icon of the four icons at the lower right of the interface, sets the upper and lower limits of each monitoring data of the monitor, switches the menu on the left for patients of different ages, and adjusts the upper and lower limits of each data on the right; the user can set the upper and lower limit values by sliding the slider, and the real-time current value is displayed above during sliding; if the lower limit value slides beyond the upper limit or the upper limit slides beyond the lower limit, an abnormal color is reminded and a text prompt is given; the user can also manually close the limit value setting of the upper limit or the lower limit; after closing, there is no upper limit or lower limit; selecting the limit number at the upper right corner of the module of the interface change state diagram 1 can enter the interface change state diagram 2 for direct input.

The invention relates to the technical field of image processing, in particular to a visual detection method and system for molybdenum oxide product grade sorting, and the method comprises the steps: obtaining a color image of a molybdenum oxide product, and converting the color image into a color space containing a brightness channel and at least one chroma channel; and in response to dividing the brightness value of each pixel by the corresponding initial illumination value to obtain a reflectivity residual error, mapping the reflectivity residual error into a purity confidence score. According to the method, firstly, construction of a pure illumination image is guided by calculating a purity confidence score, so that interference of impurity pixels on illumination estimation is avoided; then, dynamic compensation gain based on similarity of pixel chroma and prior chroma is introduced, so that the compensation process has selectivity, shadow areas with colors consistent with those of qualified products can be intensively brightened, and only weak compensation is carried out on impurity areas with abnormal colors;

The invention relates to the technical field of image analysis, in particular to a photochromic paint surface protective film developing quality testing and detecting method which comprises the following steps: acquiring initial state images and color change state images at multiple angles; for the effective test areas of the initial state image and the color change state image, determining candidate areas with abnormal color development and abnormal labels corresponding to the candidate areas by taking the brightness variation and the chromaticity change direction of adjacent pixel points in the effective test areas as themes; comparing the candidate areas of the multiple angles, checking the deformation condition of the candidate areas according to the difference among the multiple angles, and regarding the checked areas as output target areas; setting an influence weight according to the brightness and chromaticity of the target area under multiple times of color change, performing secondary detection on the target area in combination with the color fading time, and calibrating image range information of the target area; and configuring a test result of the target area based on the image range information of the target area. The analysis accuracy and the processing efficiency of the paint surface protective film are realized.

This invention relates to the field of image recognition, and more particularly to an image recognition method for the health status of marine aquaculture fish. First, based on the acquired raw RGB color image, instance-level segmentation is performed to obtain the category label, confidence score, and pixel-level binary mask for each fish instance. Based on the confidence score, a confidence score filtering process is performed. After obtaining the fish instances that pass the confidence score filtering, image preprocessing is performed to obtain a normalized color vector and a preprocessed RGB color image. Then, based on the normalized color vector and the preprocessed RGB color image, a posture-sensitive morphology-color joint health index extraction algorithm is used to obtain a health-sensitive feature index. Finally, based on the health-sensitive feature index, a judgment result is obtained. This method solves the technical problems of morphological indicators becoming ineffective due to fish posture distortion, the inability to quantify abnormal color features such as red spots and white spots, and the impact of fish species differences on the universality and accuracy of the assessment results.

An automated detection system based on AI vision for fruit vesicle abnormal color and foreign matter proposes to use a high-definition camera in combination with a microcomputer to collect high-frequency and high-definition photographs of surface of fruit vesicle raw material barrel when it's unpacked, analyze information, and then output detection results of each fruit vesicle raw material barrel, and accordingly realize demand for continued conveyance, early warning, elimination, and scrapping of the fruit vesicle raw material barrel, and replace the human eye in detecting smaller abnormal-color spots, which reduces the risk of foreign matter and abnormal color in the opening package of vesicle, and avoids food poisoning, allergic reaction or other health problems that may be caused by pests, chemical residues, mechanical damages and other reasons after being ingested into the human body, and protects health of the human body and food safety of consumers.

A server device comprises: a reception unit that receives, from an inspection system, color development data indicating that the color development state of a test piece to which a sample is applied includes abnormal development of color; a creation unit that creates, for the received color development data, drug information relating to a drug that affects the abnormal color development of the test piece; and a transmission unit that transmits the created drug information to the inspection system.

The invention discloses a display screen detection method and system, and the method comprises the steps: carrying out the lightening detection of a to-be-detected display screen, and carrying out the laser repair of the to-be-detected display screen if there is a normally bright spot; if the normally bright spot does not exist, color detection is carried out on the display screen to be detected, and if an abnormal color development state exists, the display screen to be detected is judged to be a bad display screen; and if the abnormal color development state does not exist, carrying out resolution detection on the display screen to be detected, and if the resolution is abnormal, judging that the display screen is a bad display screen. According to the method, lightening detection, color detection and resolution detection are sequentially carried out on the display screen to be detected, a layer-by-layer progressive screening mechanism is formed, the problem of repairable normally bright spots is eliminated through lightening detection, the utilization rate of the display screen is greatly improved, and resource waste is reduced; and secondly, through color detection and resolution detection, the problems, which cannot be solved through simple repair, such as an abnormal color development state and abnormal resolution can be accurately identified, the result of judging the display screen to be bad is accurate and reliable, and the efficiency and the precision of overall detection are improved.

This invention discloses a high-precision defect detection method, apparatus, device, and storage medium for complex metal surfaces. The method includes: acquiring an image of a target complex metal surface and delineating an inspection area within the image; selecting an inspection template corresponding to the target complex metal surface image and correcting the position of the inspection area based on the template to obtain a target detection area; identifying abnormal colors within the target detection area, placing the identified abnormal colors into inspection channels, and receiving inspection parameters input by the user; detecting the abnormal colors placed into the inspection channels based on the inspection parameters using a preset detection program; and marking the abnormal color area when the grayscale value of the detected abnormal color and the area of ​​the abnormal color region do not meet preset conditions. This invention can automatically perform real-time anomaly detection on the acquired complex metal surface image, thereby improving the accuracy of anomaly detection and reducing the detection time.