120results about How to "Eliminate background distractions" patented technology

The invention provides a lane line identification method and a lane line identification system. The lane line identification method comprises steps that an interested area is delineated in an acquired gray level image comprising a lane line; a matched filter is used for multidimensional matching filtering; the top hat transformation of the interested area of the image after the multidimensional matching filtering is carried out; by comparing a preset gray level adaptive threshold with a to-be-detected pixel point, a lane line characteristic point is screened out; the back projection transformation of the lane line characteristic is carried out to acquire a two-dimensional raster map; the neighborhood clustering processing of the two-dimensional raster map is carried out, and the curve fitting of the lane line pixel point is carried out, and then the lane line of the lane, on which a vehicle drives, is determined by combining with the current position of the vehicle. The characteristic enhancement of the lane line area in various environments is realized, and influences of changes of external conditions on the lane line identification based on machine vision are greatly reduced, and the accuracy of the subsequent lane line identification is improved.

The present invention provides a detecting method for the unusual point of the high spectrum image based on the selective nuclear main composition analyzing, and relates to the high spectrum image analyzing and defecting technology field. The present invention aims at solving the problem that the prior high spectrum image defecting method cannot conduct character extracting on the unusual point effectively, and produce more false alarm, and cannot detect the unusual point effectively under high background disturbance. The present invention has the procedures that the data is normalized, and the nuclear main composition is analyzed; a sliding window is constructed in the main sub-quantity; the third moment and the fourth moment of the pixel in the sliding window are calculated and compared the moments with a preset value; the value is recorded after reading all over the main sub-quantity; all the main sub-quantity are processed; the maximal main sub-quantity is selected; the unusual point detecting on the selected main sub-quantity is conducted by the RX operator, and the detecting result is output. The present invention can extract and select the character of the unusual point object in the high spectrum image effectively, and can lower the false alarm rate, and can detect the unusual point normally under high background disturbance.

The invention provides an automatic segmentation method for the pre-background of a lepidopteron image based on a full convolutional neural network (CNN). A full convolutional network applied to pixel-level classified prediction is built via a fine tuned and pre-trained CNN model. Before the network is training, data enhancement is performed on an insect image data set to meet the requirement of deep neural network training on a sample quantity. Outputs of the different convolutional layers are fused, and a network model applicable to segmenting the pre-background of the lepidopteron image isacquired by exploration. Edge details are refined by further using a condition random field (CRF) based on an initial segmentation result of the CNN, and the maximum outline of the foreground is extracted and filled to remove noise interference existing in an output result of the network model and cavities in the foreground. According to the method, the pretreatment task of the insect image is completely automatic, and the lepidopteron species automatic recognition efficiency can be significantly improved.

The invention discloses an anti-vibration machine vision detection method of foreign matters in a liquid medicine. The detection method comprises the following steps of: step 1, obtaining images; step 2, matching the images: carrying out matching pre-processing on adjacent frame gray level images by utilizing a relevant sub-pixel image matching algorithm based on a hill-climbing search phase; step 3: carrying out inter-frame difference: carrying out difference on the matched adjacent frame gray level images to remove static background information and keep movable foreign matter information; step 4: detecting a target: carrying out binary segmentation and connected domain search on the images obtained by the inter-frame difference, calculating area of each foreign matter area and finding out the largest foreign matter area; and step 5, judging a decision: judging whether an existing product is an inferior-quality product by judging whether the largest foreign matter area exceeds a standard, and finishing the detection process. The anti-vibration machine vision detection method of the foreign matters in the liquid medicine, disclosed by the invention, has the advantages of capability of effectively eliminating the vibration interference of an electromechanical system, strong robustness and capability of greatly reducing designing and manufacturing costs of detection equipment ofthe foreign matters in the liquid medicine.

The invention relates to a laser desorption ionization mass spectra, in particular to application of diamond-like carbon film used as matrix in the laser desorption ionization mass spectra; the surface of the diamond-like carbon film is used as an assisting matrix of laser desorption ionization flying time mass spectra, the diamond-like carbon film has high desorption ionization efficiency to compounds with low molecular weight and can not generate background interference of matrix molecules, so as to realize high-efficiency and rapid detection to the compounds with low molecular weight; the laser desorption ionization flying time mass spectra which adopts the diamond-like carbon film as the assisting matrix is a new desorption ionization method without adding any organic matrix, so as toprovide a general, high-efficiency and rapid detection method for the compounds with low molecular weight such as natural products and ecological metabolites, promote the development of analysis of compounds with low molecular weight by the laser desorption ionization flying time mass spectra technology and find new field for the application of the diamond-like carbon film material.

The invention belongs to the technical field of analysis and detection, and discloses a fluorescence probe for detecting beta-galactosidase as well as a preparation method and application of the fluorescence probe. The substrate of the fluorescence probe is 2-(2-(dimethylamino)ethyl-6-(((3R,4S,5R,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydro-2H-pyran-2-yl)oxidation)-1H-benzisoquinoline diketone, and has a structural formula shown in the description. The fluorescence probe has the advantages that naphthalic anhydride is taken as a fluorophore of the substrate of the fluorescence probe, and lined with a galactose group which can respond to the specificity of beta-galactosidase; the ratio of double fluorescence signals being I554/I445 is taken as a detection signal, and thus the detection accuracy is higher; under the condition of 1U/L enzyme concentration, obvious fluorescence alteration can be detected, and the lower detection limit is 0.35 U/L; the fluorescence probe is excited (418 nm) in a visible light region, so that the background interference can be eliminated to achieve a better detection effect.

The present invention relates to medium materials for MALDI, and in particular relates to application of submicron carbon oxide balls as a medium in MALDI-MS. In the present invention, the submicron carbon oxide balls are used as the MALDI-MS medium, a defect of medium interference when a conventional organic medium is used is solved, the accurate analysis of various compounds with molecular weight less than 1000 Dalton, such as amino acid amino acids, lipid compounds, polypeptides, oligosaccharides and drugs can be fast and efficiently achieved. The submicron carbon oxide ball medium related in the present invention can be prepared by using a simple and controllable method, is regular in morphology, uniform in size, low in cost, and good in water solubility, and overcomes a problem that the dimension is controlled difficultly so as to influence stability of mass spectrometric detection when carbon-based materials such as carbon nano tubes and graphene are used as the MALDI medium, thus being an optimized medium capable of assisting MALDI-MS to achieve high-sensitivity and high-throughput analysis on the compounds within a low molecular weight area.

The invention provides a method for determining microcystic toxins concentration and is based on that molybdenum disulfide quantum dots can interact with gold nanoparticles through the internal filtration effect. Microcystic toxins can affect the degree of aggregation of aptamer-modified gold nanoparticles in the high salt solution, and detection of the microcystic toxins concentration in the water environment is achieved. The method is advantaged in that upconversion fluorescence of the molybdenum disulfide used can effectively avoid interference of background matrix fluorescence in the waterenvironment, optical stability is good, the detection result is accurate and reliable, cost is low, operation is simple, environmental protection is realized, detection specificity is good, influenceof other common metal ions or anions on determination of the microcystic toxins is avoided, the anti-interference ability is strong, the result is sensitive and reliable, the detection limit is low,the response speed is fast, the entire reaction process takes only 20 minutes, detection efficiency is greatly improved, good stability is achieved, real-time online fast, specific detection can be realized, and the method can be used for simple and rapid detection of microcystic toxins in the actual water environment.

The invention relates to the fields of biomedical detection and biochemical analysis, and particularly discloses a novel fluorescence probe of surface-functionalized silicon dioxide fluorescence nanoparticles for intracellular/extracellular zinc ion detection. The probe is prepared by covalently connecting the aminoquinoline-grafted dendriform polyethyleneimine derivatives to the surface of the dipyridyl-ruthenium-embedded silicon dioxide fluorescence nanoparticles; and a ratio fluorescence method is utilized to perform intracellular/extracellular zinc ion detection. The method is an improvement on the basis of the zinc ion fluorescence detection method, and can maximally enhance the detection sensitivity.

The invention discloses a white light-emitting up-conversion nanoparticle and a test paper strip based on the white light-emitting up-converting nanoparticle and capable of simultaneously detecting multi-component tumor markers. According to the present invention, the nanoparticle has a three-layer core-shell structure, and emits white light under the excitation of near infrared light; and after the antibodies of multi-component tumor markers to be detected are labeled with the nanoparticle, the obtained conjugates are immobilized on the labeling complex binding zone of the test paper strip, such that the multiple tumor markers can be simultaneously detected; and with the nanoparticle and the test paper strip, the sensitive detection on the multiple tumor markers by the single up-conversion nanoparticle is achieved, and the advantages of simple operation, good specificity, high qualitative and quantitative real-time detection and high sensitivity are provided.

The invention discloses an edge detection-based wall body crack identification method. The method comprises the steps of 1, acquiring a wall body image; 2, preprocessing the image; 3, extracting a crack edge; 4, filtering background noises; and 5, identifying a wall body crack. The technical problems of poor disturbance term adaptability caused by difficult dirt removal and the like due to adoption of a simple set grayscale threshold for performing binarization, or large calculation amount, poor real-time property and the like due to application of complex algorithms such as a neural network algorithm and the like in a substation wall body crack detection method in the prior art are solved.

The invention relates to a detection device and a detection method for a heavy metal migration amount of a nano filter tip, and belongs to the technical field of physical and chemical inspection of tobacco accessories. The device comprises an air inlet, air heating chambers, a ten-way valve, a filter tip holder, a smoke trapper and a smoke sucking machine; the ten-way valve comprises a plurality of rotatable air connection ports, a fixed air connection port and a numerical control turntable; the number of the rotatable air connection ports is same as the number of the air heating chambers; each rotatable air connection port is connected with one end of one air heating chamber. The other end of each air heating chamber is connected with the air inlet; the numerical control turntable is usedto control connection of each rotatable air connection port and the fixed air connection port; and the fixed air connection port, the filter tip holder, the smoke trapper and the smoke sucking machine are connected sequentially. The detection device has the advantages of simple structure, convenient operation and reducing of the influence of complex smoke, and can be used as a new analytical technique and method for heavy metal migration amount of the nano-filter tip.

The invention relates to an ultrasonic section identification method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring a to-be-identified ultrasonic image; performing feature extraction on the to-be-identified ultrasonic image to obtain corresponding image features; according to the image features, identifying all foreground targets in the to-be-identified ultrasonic image, and obtaining positioning information of each foreground target contained in the to-be-identified ultrasonic image; and according to the positioning information and theimage features, identifying all section targets in the to-be-identified ultrasonic image, and obtaining first category information and position information of each section target contained in the to-be-identified ultrasonic image. By adopting the method, a plurality of section targets contained in a single ultrasonic image can be effectively identified.

The invention discloses a gasket size detection system and method based on machine vision, a processing terminal and a medium, and relates to the technical field of gasket quality detection and visual optical design. In order to solve the problems that in the prior art, unqualified products cannot be removed in real time, random angle detection cannot be carried out, the method cannot adapt to actual production, the labor intensity is increased, and the maintenance cost is high in the prior art, the number of products in an image is judged, affine transformation is carried out on the products at the specific positions, and background interference is removed; secondly, the to-be-detected gasket is positioned, and the measured position of the to-be-detected gasket is subjected to contour extraction; and finally, the actual size of the to-be-detected gasket is calculated according to the proportional relation between the view field range of the image acquisition equipment and the image pixels. The problem of noisy points caused by optical interference is avoided; according to camera size detection, the placement direction of the workpiece is random, detection can be carried out when the workpiece exists in the collected image, position and angle correction is carried out on the detected object through an algorithm, and feeding consistency is achieved.

The invention provides a fluorescence ratio type spectral analysis method for detecting carcinoembryonic antigen, and belongs to the technical field of optical analysis. The method provided by the invention comprises the main contents of the preparation of long afterglow nanorods ZGO: Sr NRs, the modification of surface carcinoembryonic antigen aptamers, and the preparation of ZGC@PDA nanomaterials. By using ZGC@PDA as both a reference signal and a quencher, and using a detection probe ZGO: Sr NRs that can specifically recognize carcinoembryonic antigens, a ratio-type spectroscopic analysis method that can be used to detect carcinoembryonic antigens is constructed. The analysis method has good accuracy and stability.

The invention discloses a preparation method and a detection method of a TMAO biological negative sample and a biological standard substance. The method comprises the following steps: taking a biological sample, adding a biological enzyme to act on TMAO so as to reduce or eliminate the content of TMAO in the biological sample, and terminating the reaction between the biological enzyme and TMAO soas to obtain the biological negative sample. The method comprises the following steps: preparing a TMAO biological negative sample by using a biological enzyme, so that the endogenous TMAO backgroundinterference can be effectively eliminated, the reaction specificity is strong, the efficiency is high, the operation is convenient, and the economic benefit is high; by means of the scheme, endogenous TMAO background interference can be effectively eliminated, an enzyme reaction is ingeniously utilized, oxidative TMAO is reduced, metabolized and decomposed or groups are added to change structuralmodification, and therefore background interference caused by TMAO in a blank matrix is eliminated; and excessive bio-enzyme can be removed by subsequently inactivating or filtering the bio-enzyme, so that the bio-enzyme can be further applied to preparation of TMAO standard substances.