153 results about "Color saturation" patented technology

A method can include using a digital camera of a digital microscopy system, acquiring a digital image of an engineered three-dimensional object positioned on a base and illuminated by a light source; using the digital camera, acquiring a digital image of a color checker card positioned on the base and illuminated by the light source; determining a light source criterion by assessing position of the light source based at least in part on a shadow in the digital image of the engineered three-dimensional object as castby the engineered three-dimensional object and based at least in part on saturation of color in the digital image of the color checker card; and calibrating the digital microscopy system using the light source criterion to generate a calibrated digital microscopy system.

The invention relates to a micro display device for a bifocal plane HUD (head up display) system, which solves the problems of halved field of view, limited working bandwidth, low color saturation and low brightness of the existing bifocal plane HUD system, and comprises an image display module and a polarization modulation element arranged above the image display module, the polarization modulation element is used for polarization modulation of display pixels, the effective area of the sub-wavelength medium grating arrangement is equivalent to a 1 / 2 wave plate, the display pixels are separated in a row-by-row or column-by-column staggered mode through the sub-wavelength medium grating arrangement, and the problem that the view field is halved due to an existing target surface space partitioning scheme is solved. The two adjacent sub-wavelength medium gratings convert incident light into linear polarization states in two directions, the two directions are mutually orthogonal, and the two spaced sub-wavelength medium gratings are completely the same, so that the two images are respectively adjusted into the mutually orthogonal linear polarization states, and the two images are generated in a staggered manner.

The invention discloses an SAR image orientation sensitive target detection method based on sub-aperture image saturation characteristics, and belongs to the technical field of synthetic aperture radar image target detection. The azimuth sensitive target detection is realized through the following steps: 1) sub-aperture image generation: dividing an azimuth frequency spectrum into a plurality of sub-bands, and generating a plurality of sub-aperture images through inverse Fourier transform; 2) color synthesis and feature extraction: allocating different hues to each sub-aperture image by using an HSV color space, synthesizing an RGB color image, converting the RGB color image to the HSV color space, and extracting a saturation channel in the RGB color space as an azimuth sensitivity feature map; and 3) target detection: carrying out threshold segmentation on the saturation feature map, and identifying a pixel region with a high saturation value, namely, an orientation sensitive target. According to the method, the color saturation change caused by the scattering difference of the target in different sub-apertures is utilized, effective detection of azimuth sensitive targets such as artificial buildings and vehicles is achieved, and the method has the advantages of being simple in calculation and high in robustness.

The invention relates to the technical field of image recognition, in particular to a horticultural product fungal disease image recognition system and method, and the system comprises an image collection module, an image segmentation module, an anomaly detection module, a feature extraction module, a disease recognition module and a decision output module. In the prior art, the intensity of a light supplementing lamp is manually adjusted, and instantly changing illumination conditions (such as cloud layer shielding and tree shadow shaking) are difficult to deal with in an open-air plantation, so that leaf scab details are often submerged by strong light or dim light is blurred; according to the scheme, a closed-loop linkage system of ambient light perception and an annular LED is innovatively deployed, and the light supplementing intensity is reversely adjusted in a millisecond level by tracking ambient brightness in real time, so that purple gray hyphae of downy mildew in mist in the morning and anthracnose black spots under the noon burning sun present completely consistent color saturation and texture definition in imaging; and the problem of misdiagnosis caused by illumination fluctuation in the traditional method is thoroughly solved.

A method can include using a digital camera of a digital microscopy system, acquiring a digital image of an engineered three-dimensional object positioned on a base and illuminated by a light source; using the digital camera, acquiring a digital image of a color checker card positioned on the base and illuminated by the light source; determining a light source criterion by assessing position of the light source based at least in part on a shadow in the digital image of the engineered three-dimensional object as cast by the engineered three-dimensional object and based at least in part on saturation of color in the digital image of the color checker card; and calibrating the digital microscopy system using the light source criterion to generate a calibrated digital microscopy system.

The invention discloses an automatic vegetation coverage extraction method for field camera survey. The method comprises the following steps: inputting an RGB electronic photo to be processed; calculating the overgreen index and the color saturation of the RGB electronic photo; determining a threshold value of over-green index segmentation vegetation pixel by pixel by using the color saturation; identifying a vegetation pixel based on the over-green index and a pixel-by-pixel threshold value; and counting the proportion of the number of vegetation pixels in the RGB electronic picture to the total number of pixels, thereby obtaining the vegetation coverage. According to the method, the optimal threshold value of ExG segmented vegetation can be determined pixel by pixel for RGB electronic photos imaged under different illumination conditions and ground feature scenes, so that high-precision automatic extraction of the vegetation coverage FVC is realized, and vegetation coverage data of a quadrat scale can be quickly and accurately acquired during field investigation; the method is simple in principle, easy to implement, high in adaptive capacity, high in automation degree and wide in application range, and has wide application value in the fields of ecology, geography, remote sensing and the like.

The invention provides a portrait beautifying real-time processing method based on a deep neural network, and the method comprises the steps: carrying out the age classification processing of a face region in a feature map through an initialized age recognition neural network module, analyzing the face age indication features of the face of a user, judging the age group of the user, and outputting an age classification label; performing differentiation analysis on each face age indication feature according to the age classification label, taking a differentiation analysis result as a weight distribution basis, distributing weight coefficients to different face age indication features according to importance degrees, and obtaining face feature vectors for different age groups; and according to an eye processing strategy in the personalized beautification processing scheme, performing refined processing on the eye region, and adjusting eye contour enhancement strength and color saturation parameters according to the age group of the user to obtain image data subjected to eye beautification processing.

The invention relates to the technical field of visual inspection, and discloses a piston rod surface defect detection method and system based on visual inspection. According to the method, firstly, a depth-of-field image data set containing color saturation features of each depth-of-field level is obtained, and a detection process is triggered by calculating the overall color vision offset of the color saturation features and reference features. When the offset exceeds a threshold value, point cloud data are extracted, an oxidation area three-dimensional model is constructed through surface contour fitting, and first space contour data are output; after the oxidation depth is divided into grid units, a depth gradient vector field and local curvature features are calculated, and oxidation depth distribution data are obtained; and grading and generating an oxidation degree distribution diagram based on the data, and finally correcting the boundary of the three-dimensional model in combination with an original image data set to generate accurate second space contour data. According to the method, color features and depth information are fused, accurate positioning, quantitative grading and boundary correction of the oxidation corrosion area are achieved, and reliable support is provided for automatic detection of piston rod surface defects.

The invention relates to the technical field of package printing, in particular to an offset printing lithographic plate high-saturation package color reduction printing method, device and equipment and a medium, and the method comprises the following steps: obtaining a standard Lab color value of a large-area intermediate color in a target image based on an international standardized color management system; separating an intermediate color in a target image to a user-defined spot color layer according to the standard Lab color value, and determining an overprinting proportional relation between basic CMY three colors and the intermediate color according to the user-defined spot color layer; screening optimization processing is carried out on an area corresponding to the overprinting proportional relation so as to reduce interference of basic CMY three colors on an intermediate color; and generating a standardized printing file containing the spot color layer and the basic CMY color, and finishing printing through an offset printing process. The offset printing method has the effect of solving the problems of insufficient color saturation and poor color stability in existing offset printing package printing.

Embodiments of mallet-style putter-type golf club heads comprising a first color and an alignment system to draw a golfer's eye towards a particular desirable location are described herein. The alignment system includes a central line extending rearward from a top edge centerpoint toward the rear portion and comprising a second color different from the first color. The alignment system further includes a focus element having a first grouping of lines and a second grouping of lines each extending rearward parallel to the central line and comprising a base abutting a top edge. Each of the first grouping of lines and the second grouping of lines further comprise at least the second color, a color saturation that changes as the lines extend rearward from the top edge, and line lengths that decrease as the first grouping of lines and the second grouping of lines are distributed further from the central line. The alignment system's changes in color, color saturation, and line length provide means to draw the human eye into focus at a particular desirable location to minimize mis-strokes that would cause undesirable variance from the desired trajectory or roll path.

Method for monitoring a print on a substrate, in which ultrasonic waves (25) are sent through the substrate (7) in transmission mode, in which an attenuation measurement of the received sound level (I E ) is carried out, where a signal for the quality of the print (18-21) is derived from the damping measurement and where a measurement location (29) is selected depending on the color saturation in the print (18-21).

The invention relates to a screen body light efficiency detection method, device, system and equipment and a storage medium, and the method comprises the steps: obtaining a plurality of test backlight values, and transmitting a backlight control signal to a to-be-tested device based on the test backlight values one by one, so as to enable the to-be-tested device to adjust the backlight value of a screen body to a corresponding test backlight value based on the backlight control signal, thereby achieving the detection of the light efficiency of the screen body. And detecting the screen body light efficiency of the screen body under the test backlight value, and finally determining the target screen body light efficiency of the to-be-tested equipment according to the detected multiple screen body light efficiencies. By automatically detecting the screen body light efficiency under different test backlight values, the optimal screen body light efficiency can be quickly and accurately identified, the backlight value and the current value corresponding to the optimal screen body light efficiency are further obtained, the stability of the brightness and the color saturation of the screen body is ensured, and the user experience feeling is improved. Besides, the light efficiency of the screen body can be detected without manual operation in the mode, the influence of subjective factors is avoided, and the method is suitable for diversified screen body detection.

The application relates to a driving scene-based song MV automatic generation method and device, and belongs to the technical field of vehicle control, wherein the driving scene-based song MV automatic generation method comprises the following steps: determining a driving scene of a target vehicle based on an average vehicle speed and a steering wheel angle change rate of the target vehicle from a target time to a current time, wherein the time interval between the target time and the current time is a first preset time length; determining picture color saturation, video frame switching frequency and visual element complexity of a song MV based on the driving scene of the target vehicle; and adjusting the picture color saturation, the video frame switching frequency and the visual element complexity of the song MV based on the driving scene of the target vehicle, a currently played lyric segment, a visual feature of a currently played video frame sequence and a next played lyric segment. The application can improve in-vehicle entertainment while ensuring driving safety.

The invention provides a lamplight gradual change control method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a lamplight gradual change instruction, and analyzing the instruction to obtain a current red-green-blue component parameter and a target red-green-blue component parameter; on the basis of a preset minimum component change formula, the current red, green and blue component parameters and the target red, green and blue component parameters, actual brightness value change curves of the three components are constructed; and controlling light to gradually change from the current red-green-blue component parameter to the target red-green-blue component parameter according to the actual brightness value change curve. The current and target red, green and blue component parameters in the lamplight gradual change instruction are analyzed, the actual brightness value change curve of each component is constructed in combination with the preset minimum component change formula, gradual change is controlled according to the actual brightness value change curve, unexpected white light in the gradual change process can be restrained in a targeted mode, the color saturation is guaranteed, and the color change efficiency is improved. And smooth transition and color optimization of the lighting effect are realized.

The invention discloses a color gamut management method for a multi-primary-color LED lamp / screen. The color saturation of a corrected light-emitting color point is improved to the maximum extent on the basis of applying a rigid target color gamut space management method. Comprising a method for establishing a unified target color gamut space for a plurality of multi-primary-color LED lamps / screens, and a method for dividing the target color gamut space into a core rigid correction area and a peripheral flexible correction area according to the demand of the market for color saturation under the condition of establishing the target color gamut space. A flexible correction algorithm is introduced into a target light-emitting color point in a peripheral flexible correction area to correct the target light-emitting color point, and the corrected light-emitting color point moves towards the boundary direction of an original color gamut space, so that the color presented by the multi-primary-color LED lamp / screen is richer than the color corrected by adopting a rigid color gamut management method; on the basis of ensuring the consistency of the light-emitting colors of the light-emitting color points in the core rigid correction area, the capability of original high-saturation colored light can be fully exerted.

The present application relates to a rainy day image fault-tolerant model based on an improved convolutional long short-term memory network, comprising: a feature extraction module and a regional feature enhancement module; the feature extraction module is used to extract rain streak features in rainy day images and efficiently learn key areas of interest, outputting a feature map; the regional feature enhancement module captures and removes raindrop information of different scales based on the feature map, and outputs a rain-removed image; the present application can capture rain streaks of different scales, while removing basic rain lines, protecting important image details, textures, and background information, thereby obtaining a rain-free image with higher color saturation and quality, making the restored image cleaner and having better visual effects.

The invention discloses a color correction and detail unlocking underwater image enhancement method based on frequency decoupling. The method comprises the following steps: performing multi-frequency domain decomposition on an underwater image to obtain a low-frequency component and a high-frequency component; inputting the high-frequency component into a high-frequency detail unlocking branch, fusing frequency domain selection attention and channel attention mechanisms, performing fine-grained modeling on high-frequency texture features, strengthening real details, and suppressing high-frequency noise at the same time; inputting the low-frequency component into a low-frequency enhancement branch, carrying out global modeling and enhancement on the low-frequency feature by adopting a self-attention mechanism, and adjusting the overall brightness distribution, color saturation and structural information of the image; and carrying out fusion reconstruction on the output features of the low-frequency enhancement branch and the high-frequency detail unlocking branch to realize enhancement.

This invention discloses a laser dimension measurement device and method for hollow plastic panels, belonging to the field of laser measurement technology. The method obtains the optical signal-to-noise coefficient based on laser echo intensity, surface reflection uniformity, and speckle contrast; it obtains the motion disturbance coefficient based on encoder slip rate, dynamic bow height of the panel, and edge burr fluctuation frequency; and it obtains the medium interference coefficient based on ambient stray light flicker frequency, transmission depth offset, and color saturation. Furthermore, based on the optical signal-to-noise coefficient and motion disturbance coefficient, combined with the resonant frequency of the internal cavity of the panel and the hollow layer collapse coefficient, a resonance-collapse measurability model is used to obtain resonance-collapse measurability. Finally, combining the medium interference coefficient and the current scanning axis acceleration, an optimized scanning axis acceleration is obtained through an acceleration optimization model. This invention can comprehensively evaluate multi-source interference during the measurement process, dynamically optimize scanning parameters, and improve measurement accuracy and stability.

The present invention discloses a streaming media platform optimization method and system based on video image processing, which relates to the field of streaming media technology. The method comprises collecting an image frame sequence, extracting brightness histogram eigenvalues ​​and color saturation data, calculating a quality score of the image frame sequence, and establishing a dynamic bit rate allocation model; encoding and compressing the image frame sequence through the dynamic bit rate allocation model to generate a video data stream with an adaptive bit rate, and transmitting the stream to a streaming media server; collecting playback quality feedback data from the streaming media server, and optimizing and adjusting the dynamic bit rate allocation model based on the playback quality feedback data. The present invention extracts brightness histogram and color saturation data of video frames, establishes a quality scoring model based on a dual-branch neural network, and combines dynamic bit rate allocation to achieve adaptive video coding compression, thereby effectively reducing bandwidth occupancy while ensuring video quality, thereby improving the user experience and system performance of streaming media services.

The invention relates to a lens element intended to be worn in front of the eyes of a wearer, comprising:-a substrate (3) having a front face (3F) and a back face (3R); -one or more structures (9) to be masked wherein the lens element (1) further comprises a masking medium (15) arranged in front of the one or more structures (9) to be masked, the masking medium (15):-exhibiting an absorption characteristic defined by a visual absorption parameter Av in the range of 5% to 25%, the average absorptivity is defined as Av = 100%-Tv-Rv * tot, and-providing the lens element (1), alone or in combination, with: o front visual reflectance Rv < = 2.3%, and / or o front reflectance color saturation Suvlt; 1.8).

The invention provides a lottery ticket recognizer self-adaptive adjustment method and system based on image recognition, and relates to the technical field of machine vision. The method comprises the following steps: based on a lottery preliminary shooting image, adjusting a focal length parameter of a camera according to the definition of the lottery edge in the image, adjusting the direction and intensity of a light source according to the color saturation and brightness distribution in the image, and generating an image acquisition parameter. According to the invention, the focal length of the camera and the intensity of the light source are adaptively adjusted, the image acquisition quality is optimized in the acquisition stage of the lottery image, the image correction requirement in the processing stage is reduced, the processing efficiency is improved, multi-angle image data acquisition is combined, the light reflection and shadow influence is reduced, and the lottery number identification and security feature verification are carried out. The authenticity of the lottery ticket is accurately distinguished, the reliability of an identification result is ensured, the lottery ticket type and time data are combined, the practicability of data classification and archiving is improved, the requirement of manual intervention is reduced, and the automation level of the lottery ticket processing process is improved.

The present application relates to a kind of methods for calculating cell picture definition value based on saturation value, provide a kind of methods for calculating cell picture definition value based on saturation value, comprising the following steps: (1) the color conversion of cell picture obtained by shooting is carried out, and cell picture is converted from RGB (red green blue) channel to HSV (color, saturation, brightness);(2) separate out saturation channel picture S, remove part of noise by Gaussian filtering (or mean filtering), obtain picture S1;(3) select suitable size kernel to picture S1 and carry out Laplace transform and calculate absolute value, find out the position of change in picture, obtain picture S2;(4) set appropriate threshold, carry out thresholding processing to picture S2, record saturation value, find out corresponding bright spot position;(5) the bright spot position of multiple cell pictures is counted, and the saturation value of corresponding picture S2 is recorded.This algorithm is simple, effective, combined with Gaussian filtering (or mean filtering), Laplace transform, decision tree, morphological operation etc., so that the result of judging cell picture definition value is more accurate.

The invention discloses a fault indicator damp detection method based on multi-branch feature fusion and a related device, and belongs to the technical field of power system equipment fault state monitoring, and the method comprises the steps: obtaining an image of a fault indicator collection unit; identifying a candidate area in the image of the fault indicator acquisition unit; extracting features of the candidate region, wherein the features of the candidate region comprise an intensity uniformity matrix, a correlation matrix, a color saturation standard deviation, a boundary regularity index and a condensation region distribution density; training a multi-branch convolutional neural network model by taking the features of the candidate region as input to obtain a trained damp detection model; and extracting features of a candidate area of the image of the acquisition unit of the to-be-detected fault indicator, and inputting the features of the candidate area into the trained damp detection model to obtain a damp detection result of the to-be-detected fault indicator. According to the method, the detection robustness in a complex scene is improved, and the adaptability is high.

The present application relates to a metal iridium complex and an organic electroluminescent device. The metal iridium complex has a general formula of Ir(La)(Lb)(Lc), the structure thereof being shown as a formula (1). The metal iridium complex provided by the present application has the advantages of low evaporation deposition temperature, high optical and electrochemical stability, narrow half-peak width, high color saturation, high light-emitting efficiency, long device service life and the like. Therefore, the metal iridium complex can be used in organic light-emitting devices, particularly used as a red light-emitting phosphorescent material, and has the possibility of being applied to the AMOLED industry.

This invention discloses a visualization method and apparatus for VR or AR-based narrative programs using icons. The method includes extracting images, emotions, and actions of narrative objects from narrative content data for semantic modeling, mapping the semantic modeling to preset icons and color labels; wherein the color labels represent emotions through color saturation; formally describing the icons according to the narrative content data, assigning attribute data to the icon data, and visually describing the temporal relationship of the narrative objects corresponding to the icons with assigned attribute data within the narrative content data; optimizing the placement conflicts of the icons on the vertical and horizontal axes of the narrative space during visualization, and allocating regions of the icons based on temporal sequence to complete the visualization description and display it accordingly. This invention can intuitively reflect the narrative content and rhythm, thereby improving the user experience.

The application discloses a kind of color laser marking composition and its preparation method and application.The color laser marking composition includes the following components calculated by weight parts: resin 88-110 parts;Photosensitive reversible toner 0.1-5 parts;Visible light absorber 0.01-1 parts;Pigment 0.1-2 parts;Ultraviolet absorber 0.05-1 parts.In the application, the color laser marking composition can mark color marks on white and color substrates by adding photosensitive reversible toner and visible light absorber, combined with ultraviolet absorber, has higher definition and color saturation, and marking is controllable.

The embodiment of the invention discloses a display device and a control method of the display device, and relates to the technical field of display, the display device comprises a backlight module, a liquid crystal panel and a control module, a first backlight partition of the backlight module comprises red, green and blue light emitting sources, a first pixel of a first pixel unit of the liquid crystal panel comprises red, green, blue and white sub-pixels. The control module corrects the first transmittance corresponding to the white sub-pixel according to a preset correction parameter to obtain a target transmittance, determines the first transmittance corresponding to the red, green and blue sub-pixels in the first pixel according to the first image signal corresponding to the first pixel and the target transmittance, and determines the first transmittance corresponding to the red, green and blue sub-pixels in the first pixel according to the first image signal corresponding to the first pixel and the target transmittance; the first pixel is driven based on the first transmittance corresponding to each sub-pixel, the reduction degree of the color saturation can be reduced, the color saturation is ensured while the energy efficiency of the display equipment is improved, color gamut expression and energy efficiency improvement are considered, and the display performance of the display equipment is improved.

The utility model relates to the technical field of packaging box printing equipment, and discloses an oil box structure of packaging box printing equipment, which comprises an oil box body, a stirring mechanism and a recycling assembly, the stirring mechanism comprises a connecting flange fixedly connected to the inner wall of the top of the oil box body, and the outer wall of the bottom of the connecting flange is fixedly connected with a fixing block through a plurality of fixing rods; the outer wall of the bottom of the fixing block is fixedly connected with a stator, the interior of the stator is rotatably connected with a rotor, and a plurality of shearing holes are formed in the outer wall of the circumference of the stator at equal intervals. The problems of different printing color shades, pattern color saturation differences and the like caused by precipitation and layering of pigment particles and additives are avoided, the printing defective rate is greatly reduced, and the quality of printed matter is effectively improved.

The application provides a method for preparing a high-resolution full-color QLED device by transfer printing, and the preparation process of the full-color light-emitting layer is as follows: firstly, a small-period strip-shaped PDMS template is used to transfer a barrier layer material in the horizontal and vertical directions respectively by transfer printing to form a grid-shaped barrier layer; secondly, a large-period strip-shaped PDMS template with a period twice that of the small-period strip-shaped PDMS template is used to transfer a first quantum dot and a second quantum dot in the horizontal and vertical directions respectively; and finally, a third quantum dot is spin-coated to obtain a high-resolution full-color light-emitting layer. The method can realize pixel separation and accurate positioning of the red, green and blue quantum dots in the high-resolution full-color QLED device, and improve the color saturation and display effect of the device. The method is simple and efficient, and can be widely applied in the fields of display devices, optoelectronic devices and the like.