11 results about "Color intensity" patented technology

The invention discloses a method for ratio type colorimetric detection of perchlorate. The method comprises the following steps: performing specific surface modification on gold nanoparticles, constructing a methylene blue functionalized gold nanoparticle (MB (at) AuNPs) colorimetric probe, inducing a particle aggregation effect by utilizing specific interaction between perchlorate and MB (at) AuNPs, triggering red shift of a localized surface plasma resonance absorption peak of the probe, and detecting the concentration of the MB (at) AuNPs. And a 523 nm (dispersed state characteristic peak) and 660 nm (aggregation state characteristic peak) dual-wavelength absorption signal is formed. Ratio-type quantitative analysis is realized by calculating the ratio (A660 / A523) of the absorbance of the two wavelengths, and the defect that single-signal detection is easily influenced by environmental fluctuation and system condition change is effectively avoided. Based on the response characteristics, a dual quantitative relation between the ratio of the concentration of the perchlorate to the absorbance and the ratio of the color intensity of an image collected by the smart phone is further established, and an ultraviolet-visible spectrophotometry-smart phone image analysis dual-mode detection system is constructed. Wherein the detection limit of the spectrum detection mode is 2.77 [mu] M, and the detection limit of the smart phone auxiliary detection mode is 5.63 [mu] M. The method is simple and convenient to operate, does not need a large-scale analytical instrument or complex sample pretreatment, has the advantages of good sensitivity, stability and visual discrimination, can quickly realize on-site screening and accurate quantification of perchlorate in water and food samples, and is high in practicability and wide in popularization prospect.

A method for generating a color image using a monochrome image sensor. The method includes sequentially illuminating a surface with a plurality of colors, one color at a time. The monochrome image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature of a target in the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target is generated for each of the plurality of image frames. A correlation score is determined by comparing each color intensity map of the plurality of image frames. A color image is generated based on the correlation score.

1. Name of the product in this design: Scraper blade with protector. 2. Application of this design: The product to which this design is applied is a scraper blade with a protector for removing residues, windshield adhesive, etc. Thanks to the plastic protector, the scraper blade with the protector can safely remove residue or adhesive from items such as windshield frames without damaging or scratching the items. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other situations requiring explanation: The grayscale color intensity presented on the surface of each view of this design is only to represent the shape of this design, but does not represent the grayscale color as shown in the figure.

The invention relates to the technical field of agricultural detection, and discloses an automatic fertilizer nitrate nitrogen qualitative detection method and system and a storage medium. The method comprises the following steps: extracting an initial solution sample from a fertilizer, carrying out color development treatment to obtain a color-developed solution, carrying out preliminary spectral analysis on the color-developed solution to obtain original spectral characteristic data, and preprocessing the original spectral characteristic data; according to the preprocessed original spectral feature data, determining a chromogenic reaction area and extracting color distribution features of the area, and calculating color intensity data of the chromogenic reaction area through the color distribution features; judging whether nitrate nitrogen exists or not according to the color intensity data, if so, acquiring a concentration estimation value, and correcting the concentration estimation value in combination with the environmental parameters to obtain corrected concentration data; the corrected concentration data is compared with the reference data, a qualitative classification result is determined, a detection report is generated according to the qualitative classification result, and the accuracy of nitrate nitrogen detection in the fertilizer is improved.

1. Name of the product in this design: Plastic scraper blade. 2. Application of this design: The product to which this design is applied is a scraper blade with a protector for removing residues, windshield adhesive, etc. Thanks to the plastic protector, the scraper blade with the protector can safely remove residue or adhesive from items such as windshield frames without damaging or scratching the items. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1. 5. Other situations requiring explanation: The grayscale color intensity presented on the surface of each view of this design is only to represent the shape of this design, but does not represent the grayscale color as shown in the figure.

The invention provides a gradient-optimized spot color ink color matching method and system, and belongs to the technical field of printing, the gradient-optimized spot color ink color matching method comprises the following steps: S1, preparing a plurality of base ink samples with different concentration gradients; s2, preparing the base ink sample into a color display sample sheet, and preparing a color sample corresponding to the base ink sample; s3, measuring spectrum data of each color sample through spectrum detection equipment; s4, based on the spectral data, performing first screening on the database building samples by analyzing a spectral change rule to obtain initial sample points; s5, based on the initial sample points, analyzing the linear relation between the color intensity and the concentration of the initial sample points, performing secondary screening, and selecting two sub-samples; s6, calculating the optical constant of the base ink by using the sub-samples screened out for the second time; and S7, constructing a corresponding base ink database according to the optical constants for spot color ink color matching. In the printing process, for the needed target color, the optical constant can be used for reversely deducing the base ink, labor can be reduced, and efficiency and color matching accuracy can be improved.

This invention discloses a preparation process for high-purity isosorbide with low color intensity, belonging to the field of bio-based fine chemical preparation technology. Using sorbitol as a raw material, a dehydration and cyclization reaction is carried out under the protection of a composite solid acid catalyst and an inert atmosphere. This is combined with online dehydration, mild decolorization, electrodialysis desalination, and low-temperature solvent-induced crystallization techniques to achieve the preparation of high-purity isosorbide. By introducing hydrogen or nitrogen to suppress carbonization side reactions and using a gradient decolorization-purification process, the product color intensity is significantly reduced, and the purity and yield are improved.

A method for generating a color image using a monochrome image sensor. The method includes sequentially illuminating a surface with a plurality of colors, one color at a time. The monochrome image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature of a target in the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target is generated for each of the plurality of image frames. A correlation score is determined by comparing each color intensity map of the plurality of image frames. A color image is generated based on the correlation score.

The invention discloses a dual-mode ascorbic acid (AA) detection method based on RGB colorimetry and gray analysis. The method comprises the following steps: firstly preparing nano-silver sol, then uniformly mixing a certain volume of nano-silver sol, ultrapure water and a glycine-NaOH buffer solution with 0.2 mL of 0.01 mol / L AgNO3 solution, and adding an ascorbic acid standard solution or a solution to be detected; a self-made device combined with a smart phone is used for collecting a reaction system image, and a Tyndall effect average gray value (AG) and a color intensity value (RGB channel value) are extracted as double response signals for quantitative analysis of AA. According to the invention, an intelligent mobile phone RGB colorimetric method and a Tyndall effect gray scale analysis method are combined, rapid and sensitive detection of AA is realized, and the method has the advantages of high reliability, good selectivity, strong portability and the like, is suitable for POCT (point-of-care testing) on-site rapid detection, and is convenient to popularize and use.

The present application relates to a kind of light convolution network's underwater image enhancement method, based on the traditional white balance algorithm in neural network introduces trainable white balance module, balance the color intensity of RGB three channels, can balance color channel.For the problem of low contrast, the present application is based on the traditional histogram stretching algorithm again and introduces multiple space trainable histogram stretching module, in RGB, Lab, HSI three spaces, and the module is extended to multiple color space parallel operation, can improve image contrast.In addition, residual enhancement module is also introduced to restore image details.Compared with the current SOTA model, the best enhancement effect is obtained.The parameter quantity is reduced by more than 98%.Greatly reduce the image enhancement time, can be used to enhance high-resolution image and underwater video.

The invention relates to a lightweight convolutional neural network construction method and system for glue pudding defect detection, and the method comprises the steps: constructing a color intensity distribution interval for a brightness contrast value and a color saturation change rate in each region according to a preliminarily labeled gradient region distribution diagram, analyzing and calculating the intensity change trend in the region through a histogram, and obtaining a color intensity distribution interval; determining a quantitative description value of the color difference; adjusting local focusing parameters during image acquisition according to classification labels of defect severity in combination with crack depth estimation values and color intensity distribution intervals, optimizing the detail capture capability of high-risk areas, and determining a monitoring enhancement scheme for specific defects on the surfaces of the rice dumplings; and by monitoring a strengthening scheme, updating crack distribution density ratio and color distribution uniformity degree data processed by a production line image, generating a dynamic detection template aiming at the stuffing seepage defect on the surface of the sweet soup ball, and finishing continuous tracking and identification of a specific defect type.