18 results about "Color response" patented technology

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

The invention relates to the technical field of light control, in particular to a skin visual detection control method based on a silicon substrate multi-primary-color LED lamp. According to the method, the original skin image is continuously acquired, the local window is divided, and the similarity of the structure direction field and the color gradient field of the local texture is combined, so that the high-resolution recognition of the skin texture state is realized, and the recognition precision of the facial detail abnormity is enhanced. By setting the fuzzy judgment interval and quantifying the membership degree, a multi-dimensional recognition system for different abnormal types such as color spots, redness and swelling, dry decrustation, acnes and comedos is established, and the sensitivity and adaptability of skin abnormality judgment are remarkably improved. In a color response interference identification process, an inter-class variance is introduced to calculate a response difference between a red channel and a yellow channel, so that the influence of a color overlapping region is effectively eliminated, and the effectiveness and independence of extracting a gray region are ensured. And further extracting an effective gray area in the non-interference area.

The invention relates to the technical field of machine vision, and discloses a crop disease and insect pest precise spraying method and system based on machine vision, and the method comprises the steps: collecting a crop canopy image, and synchronously reading the X-direction position data, canopy height data and spraying rod moving speed data of a spraying rod; calculating a chromaticity response index based on the crop canopy image and the canopy height data, and screening suspected disease areas; calculating an edge complexity index and a texture roughness index based on the suspected disease area, and determining a target disease area; a disease severity index is calculated according to the target disease area, the chromaticity response index and the edge complexity index, and the spraying duration, the electromagnetic valve duty ratio and the pressure valve voltage are calculated based on the disease severity index to drive the spraying actuator to complete variable spraying. And the pesticide dosage is reduced on the premise of ensuring the control effect.

The invention discloses an intelligent phosphate radical monitoring method based on an ion selective electrochromic electrode and image recognition, and belongs to the technical field of environment monitoring. In order to solve the problems that traditional phosphate radical detection depends on chemical reagents, steps are tedious and online monitoring is difficult to realize, the invention provides an intelligent monitoring strategy integrating electrochemical excitation, color response and image recognition. According to the method, an electrochromic sensing electrode with a phosphate ion selective response characteristic is constructed, phosphate radicals are driven to be captured and released under the action of set voltage, and the color of the electrode is induced to be reversibly changed; by combining image acquisition and a color recognition algorithm, extracting color features and training a concentration prediction model based on a standard concentration data set, real-time monitoring of phosphate radicals in different concentration ranges can be realized, and meanwhile, the system has the capabilities of model switching, electrode recovery judgment and automatic cycle monitoring. The method does not need chemical reagents, is sensitive in response, simple and convenient to operate and accurate in identification, and is suitable for on-site visual monitoring of phosphate radicals in various water bodies such as domestic sewage, aquaculture wastewater and surface water.

The present invention relates to the technical field of endoscopic imaging, and in particular to an endoscopic imaging system and a control method therefor. In the solution of the present application, first, a light source module emits first visible light and / or second visible light on the basis of a control instruction, and an image processing module controls a brightness ratio of the first visible light to the second visible light when irradiating a target tissue, so that the target tissue generates reflected light after irradiated by the first visible light and the second visible light; then, an image sensor of a camera module receives the reflected light, and generates a three-color response signal on the basis of the reflected light; and finally, the image processing module processes the three-color response signal to obtain a corresponding image and output the corresponding image. The described solution of the present application effectively solves the problem of low recognition of target tissue images in existing endoscopic imaging.

The invention provides an efficient decoupling and object removal method based on a neural radiation field scene, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-view-angle image data set, carrying out the view angle overlapping recognition, analyzing the projection cross relation of different space voxels in different view angles, obtaining an overlapping interference factor, and carrying out the recognition of the overlapping interference factor; extracting image areas with overlapping interference factors higher than a preset interference threshold value as high-interference blocks, performing clustering segmentation on space voxels in the high-interference blocks according to depth continuity and a color gradient trend to obtain a candidate object set, tracking color response paths and depth drift paths of candidate objects in each view angle image, and obtaining a candidate object set; and matching the color derivative change rate and the space coordinate difference between the two paths to obtain a reflection deviation value, identifying a candidate object of which the reflection deviation value is higher than an average value as a to-be-removed object, constructing a voxel shielding range region of the to-be-removed object, and removing the to-be-removed object from the multi-view image data set. According to the invention, the voxel region of the to-be-removed object can be accurately identified.

An electronic device may include a display having a waveguide that directs image light to an eye-fit zone using an output coupler. The display may include an electrically adjustable color layer overlapping the output coupler. The colored layer may be used to maximize the contrast of the image in the image light. The colored layer may include a peripheral edge seal between the first substrate and the second substrate and laterally surrounding the electrochromic gel. The peripheral edge seal may protect the gel from water and oxygen. The peripheral edge seal may include one or more material ring and / or glass ring spacers, the substrates may include cavities, and / or the gel may include spacer beads to help minimize warpage upon curing and thus maximize the flatness of the colored layer. The electrochromic gel may include first and second redox species and third redox species configured to tune a color response of the colored layer.

The invention discloses a rapid water sample detection method based on color reaction, which mainly comprises the following steps: acquiring a water sample, adding a second reagent into the water sample, and dispersing the second reagent into the water sample to form a to-be-detected substance; subsequently, through a pressure difference principle, forming a difference value between the test tube and the ambient air pressure, based on the air pressure difference value, enabling the to-be-tested object to enter the test tube to form a mixture, vibrating the mixture, and standing for a preset time to obtain a comparison sample; result generation: comparing the comparison sample with the color item of the colorimetric card, and matching and outputting a unique detection result through the color item; by utilizing the characteristics of color reaction, the output result of water sample detection can be very intuitive; in a further effect, the water sample to be detected can be quickly prepared into a mixture based on the pressure difference without assistance of other equipment, so that the steps of water sample detection are greatly simplified, and the method is more accordant with the existing operation, so that a preliminary detection result is quickly obtained, and a technician can make a corresponding decision conveniently.

The present application relates to the technical field of color restoration detection, and particularly relates to a color restoration detection method, system and device for a mobile phone camera. The method obtains RGB images of multiple scenes and multiple exposure levels, performs multi-bit layering on each channel, and determines hierarchical dynamic weights based on pixel distribution; the method analyzes the cooperativity of weight sequences under different exposures, and constructs a basic color response consistency degree reflecting channel consistency. At the same time, the method evaluates scene complexity in combination with the information entropy of HSV chroma distribution, calculates an exposure deviation index based on bit layer pixel value statistics, and fuses the two to quantify the degree of environmental interference. Finally, the basic color response consistency degree is weighted and corrected according to the environmental interference intensity, to obtain a target color response consistency degree closer to the real use condition, which is used for camera quality evaluation. The method is free from dependence on standard color cards, and effectively improves the reliability and practicability of color restoration evaluation under complex or non-ideal exposure scenes.

The utility model relates to test device field especially air conditioner filter screen high -efficient automatic testing device, including test box, still including fixed plate and dust cleaning component, the fixed plate is fixedly connected in test box inner wall, is provided with dust cleaning component on the fixed plate upper end, is provided with the placement groove on the fixed plate upper end, is provided with the gas outlet in the bottom of placement groove inner wall and penetrates, is provided with filter screen in the placement groove inner wall, the transparent bucket is fixedly connected in test box inner wall bottom, the connecting pipe is fixedly connected on test box upper end, the gas inlet pipe is fixedly connected on the connecting pipe outer wall, the fan is fixedly connected on the gas inlet pipe upper end, the utility model discloses through fan will harmful gas into test box, after the absorption of filter screen, and the color reaction of detection reagent occurs, through the color contrast of reagent in the transparent bucket and reagent in the contrast bucket, can intuitively feel the effect that filter screen absorbs formaldehyde, solved the problem that staff uses gas sensor and cannot intuitively feel formaldehyde filtration effect.

The application discloses a kind of camera color consistency calibration methods based on machine vision, it is related to computer vision field, including, the original RAW format image data of current scene is collected, and according to the pixel distribution of original RAW format image data, construct two-dimensional pixel coordinate matrix;Sinusoidal position coding processing is carried out to two-dimensional pixel coordinate matrix, and the coding feature map of the position change law of the characteristic of pixel space position relationship and position is obtained;Coding feature map and original RAW format image data are fused with pixel alignment, and position constraint fusion feature is obtained, and position constraint fusion feature is input into pixel-level space color response analysis network, and the spatial non-uniform color response feature in original RAW format image data is extracted, and the correction gain coefficient matrix corresponding to each pixel is obtained.The application realizes the fine modeling of pixel space position and response non-uniformity, and eliminates the local color deviation of wide dynamic scene.

The application discloses a kind of heat-sensitive textile detection device and its detection method, it is related to heat-sensitive detection technical field.The heat-sensitive textile detection device and its detection method, comprising: S1, acquisition heat-sensitive color original data, and heat-sensitive color original data is preprocessed;S2, assesses the response consistency level of each pixel of color developing area, generates response consistency distribution diagram, and judges whether pixel responds stably;S3, extract response stable pixel aggregation area, construct candidate area set, and assess the adaptability of heat-sensitive pattern in candidate layout area, carry out layout grade division, output layout zoning label map;S4, carry out heat-sensitive response stability evaluation, construct two-dimensional joint feature analysis diagram, carry out cluster analysis, and divide candidate layout area into four categories response area, and match corresponding layout optimization strategy.The problem that pattern layout area is difficult to adapt stably due to uneven heat-sensitive color response is solved.

The invention relates to the technical field of screen parameter calibration, in particular to a display module calibration system which comprises a gray scale driving module, a bright color response extraction module, a jump feature recognition module, a response difference screening module and a standard mapping output module. According to the method, accurate driving sequence identification is established through double binding processing of gray scale signals and pixel coordinates, response tracking and parameter collection of pixel levels are achieved, and system integration of module response characteristics is completed through brightness and multi-direction chromaticity collection under continuous gray scale signal driving. The method comprises the following steps: identifying a sudden change point in continuous chromaticity change and judging a jump behavior, effectively extracting critical characteristics of bright color response in a module, calculating a distribution deviation value of a critical response number, eliminating an abnormal drifting interference module, ensuring data purity in a standard mapping generation process, and improving a standard mapping generation efficiency. A bright color mapping template is established by extracting key response parameters in a non-drifting module, and color consistency and brightness balance among multiple modules are improved.

The present invention relates to a computer-implemented analytical method for determining the concentration of an analyte in a bodily fluid by using a mobile device having at least one camera, comprising: i) receiving at least one image captured by the camera of the mobile device, the image including at least a portion of a reagent test area associated with an optical test element and / or associated with a color reference card, the reagent test area having an applied sample of the bodily fluid, the image further including at least a portion of at least one hydrochromic indicator field associated with the optical test element and / or associated with the color reference card, the hydrochromic indicator field indicating a relative humidity rH threshold(m) and ii) receiving at least one image showing at least one optically detectable color change at a predetermined threshold level of the hydrochromic indicator field; and ii) determining an estimate of the local relative humidity rH from the color of the hydrochromic indicator field in the image. estimate Derive the estimated value rH estimate Based on the relative humidity rH appl-range(n) and iii) selecting one of at least two predetermined applicable ranges of the relative humidity rH selected in step ii). appl-range(n) determining the concentration of the analyte from the color of the reagent test area in the image based on a color reaction in the reagent test area with the sample of bodily fluid applied, taking into account the applicability range of the reagent test area.

The present application relates to the technical field of environmental analysis chemistry, and discloses a cyanide titration detection method and system based on thymol phthalein-TBPE double indicator, which comprises the following steps: adjusting a water sample to be detected to an alkaline pH interval to construct a detection matrix; introducing a double indicator system composed of thymol phthalein and tetrabromophenolphthalein ethyl ester in a specific ratio into the detection matrix, using the blue color development characteristics of thymol phthalein to construct a spectral background for masking the yellow interference of sulfide; adding silver nitrate standard solution dropwise to the mixed system to perform a complexation reaction; and monitoring the color response of the system in a specific waveband in real time, determining the titration endpoint when the color mutation signal from green to blue-violet is captured, and calculating the cyanide concentration. The present application filters out the color interference of sulfide on endpoint interpretation at the physical level by constructing a spectral background shielding field, realizes high-precision anti-interference detection of cyanide in a complex high-turbidity matrix, and improves the sensitivity and accuracy of endpoint identification.

The invention discloses a numerical generation method for a color response database of a shear-sensitive liquid crystal coating, which belongs to the field of experimental aerodynamics and comprises the following steps of: 1, establishing a stress response model of a shear-sensitive liquid crystal coating structure; 2, establishing an optical response model of the shear sensitive liquid crystal coating; 3, calibrating a color response model of the shear-sensitive liquid crystal coating; and 4, constructing a shear sensitive liquid crystal color response database. According to the method, the structural stress response model and the optical response model of the SSLC coating are established and calibrated, so that rapid numerical prediction and database construction of the color response of the coating are realized. Based on the database, reliable training and calibration data can be provided for an intelligent algorithm, so that the experimental data acquisition cost is reduced, the applicability and popularization value of an SSLC measurement technology are improved, and application of the SSLC measurement technology in the fields of boundary layer research, flow control and the like is promoted.

A method of determining the concentration of an analyte in a sample of a body fluid with a mobile device having a camera is disclosed. The camera captures an image of a color reference card and of a reagent test field of an optical test strip having a sample applied to it. A predetermined pixel-based mean tone map correction is applied to the image obtained, which results in a first intensity-corrected image. Local brightness information is derived from the first intensity-corrected image. A mobile device-specific tone map correction is applied to the first intensity-corrected image, taking into account the local brightness information. A second intensity-corrected image is thereby obtained. Analyte concentration is determined based on a color formation reaction of the test field by using the second intensity-corrected image. Optionally, a color correction may be derived and applied to the second intensity-corrected image to obtain an intensity-corrected and color-corrected image.

The application discloses a cold water fish shelf life intelligent monitoring method and system, relates to the technical field of computer vision and food quality intelligent monitoring, and comprises the following steps: acquiring the fish species identification, storage time sequence, continuous temperature record, hydrogel intelligent label image and freshness detection data of the current batch of cold water fish; processing the freshness detection field availability, temperature trajectory, shooting environment state and label color response respectively; and generating index missing types, index effective weights, detection corruption amounts, storage cumulative lengths, temperature trajectory corruption amounts and stable color response amounts; and inputting the above-mentioned multiple-source corruption representations into a shelf life dynamic prediction model to dynamically output residual shelf life prediction values and prediction confidence levels.