72results about How to "High image precision" patented technology

The invention relates to a method for detecting surface defects of a dustproof cover of a bearing based on machine vision, which comprises the following steps: a, obtaining a gray level image of a to-be-detected bearing; b, carrying out separation on the gray level image so as to obtain a ring image of the dustproof cover of the bearing; c, carrying out grey level transformation and adaptive median filtering preprocessing on the ring image; d, carrying out threshold segmentation on the ring image by using a maximum interclass variance method, extracting an edge of the ring image of the dustproof cover of the bearing after threshold segmentation by using a Roberts edge detection operator; e, calculating the numbers of which the numerical values are 1 in the image area every two degrees for the ring image of the dustproof cover of the bearing; f, providing a template bearing image, and obtaining a deflection angle sigma through calculating; g, carrying out separation on the image so as to obtain character areas and non-character areas of the ring image of the dustproof cover of the bearing; and h, carrying out surface defect judgment on corresponding character areas and non-character areas in the ring image of the dustproof cover of the bearing according to the number of connected areas and the defect area. By using the method disclosed by the invention, automatic detection can be achieved, the visual detection workload of artificial detection is reduced, the detection efficiency is improved, and the method is safe and reliable.

A light emitting device includes a pixel circuit and a data line provided between a first substrate and a second substrate opposed to each other. The pixel circuit includes a first circuit and a second circuit, the first circuit includes a first light emitting element and a first driving transistor connected in series to each other, and a first switching element provided between a gate of the first transistor and the data line, and outgoing light of the first light emitting element is output from the first substrate side. The second circuit includes a second light emitting element and a second driving transistor connected in series to each other, and a first switching element provided between a gate of the second driving transistor and the data line, and outgoing light of the second light emitting element is output from the second substrate side.

The invention discloses a method and device for acquiring a high-precision submarine topographic and geomorphologic map. The method comprises the steps of acquiring navigation data, replacing navigation data in detection data of bathymetric sidescan sonar by using effective navigation data in the navigation data, acquiring rewritten detection data, and performing rejection, correction and filtering processing on the written detection data to acquire primary detection data; processing bathymetric data in the primary detection data to acquire processed bathymetric data; processing sidescan data in the primary detection data to acquire processed sidescan data; replacing the primary detection data by using the processed bathymetric data and the processed sidescan data to acquire final detection data; and mapping by using the final detection data to acquire a submarine topographic and geomorphologic map. The submarine topographic and geomorphologic map acquired according to the invention is closer to the real submarine topography and geomorphology, the image precision is higher, and the mapping speed is high.

The invention discloses a display device and an electronic device. The display device is used for executing image display and is also used for executing biological characteristic information sensing.The display device comprises a plurality of point light sources, a touch screen, a controller, a plurality of photosensitive elements and a processing circuit, wherein the touch screen is used for determining the contact area of a target object on the display device; the controller is used for controlling the plurality of point light sources corresponding to the contact area to be turned on at different time to emit an optical signal to the target object; the plurality of photosensitive elements are used for receiving the optical signal reflected by the target object and converting the received optical signal into a corresponding electrical signal; and the processing circuit is used for determining the biological characteristic information of the target object according to the electrical signal. The electronic device comprises the display device.

The invention discloses a device and method for detecting surface defects of a perforated plate workpiece. The system comprises a transfer system, a special-shaped illuminating light source, an industrial charge coupled device (CCD) image sensor, an image acquisition card and a processor. A to-be-detected perforated plate workpiece is horizontally arranged in the transfer system; the special-shaped illuminating light source adopts a shed-shaped structure light source of which the top is arc-shaped and the horizontal section is rectangular, and is arranged at the periphery of a lens of the industrial CCD image sensor; the industrial CCD image sensor comprises a camera main body, a lens and an interface C; the camera main body adopts an industrial CCD camera and is connected with the lens through the interface C; the lens is arranged on the inner side of the special-shaped illuminating light source and is perpendicular to the to-be-detected perforated plate workpiece; the image acquisition card serves as the connector of an image acquisition part and an image processing part; the processor is used for realizing the operation of corresponding codes in a programming environment, calculating and marking the defect positions and intuitively displaying the defect positions. According to the detection device disclosed by the invention, the surface defect positions can be accurately displayed, and the workpiece defect information is acquired instead of human eyes, therefore, the detection accuracy is high.

To provide a matching technology for determining the similarity between two objects at high velocity with high precision.

A matching method for comparing a set of feature points of two objects projected to an N-dimensional space and determining the similarity between the two objects, includes a mapping step (S3) of mapping the set to a one-dimensional space, a pairing step (S6) of creating a set of pairs of a feature point of first object that is the most approximate to a feature point of second object, a partial-set creating step (S7) of partly extracting the pairs in small order of the pair distance from the set of the pairs of the feature points and creating a partial set of the pairs of the feature points, an average-value calculating step (S8) of calculating a rating-scale of the pair belonging to the partial set of the pair of the feature points, and a determining step (S10) of determining the similarity between the first object and the second object on the basis of an average value of the distance.

The invention discloses a biological electrical impedance tomography method based on the particle swarm optimization and the regularization Gauss-Newton iteration algorithm. The method comprises during biological electrical impedance tomography problem solving, generating an initial value approximating to a true value as the initial value of the regularization Gauss-Newton iteration algorithm through the particle swarm optimization, then solving an inverse problem through the regularization Gauss-Newton iteration algorithm. The biological electrical impedance tomography method has the advantages that uneven subdivision is utilized during direct problem calculation to improve the tomography precision; the standard particle swarm optimization is utilized for generating one initial value for the regularization Gauss-Newton iteration algorithm, accordingly the defect that Newton type algorithms are sensitive to initial values can be well overcome, and meanwhile, only one approximate value approximating to the true value needs to be generated, so that low precision requirements can be achieved, further a relatively small number of particles and times of iterations are needed and the calculation amount can be reduced largely; image reconstruction is performed through the regularization Gauss-Newton iteration algorithm, so that high image precision and accurate image positioning can be achieved.

The invention discloses a device and method for detecting the size of an internal groove of a small-size workpiece through the asynchronous exposure of a multipoint light source. The device comprises an experiment table, a square framework, a small-size workpiece visual collection assembly, a control cabinet, and a buzzer. The method comprises the steps: enabling the lightproof square framework to be disposed on the experiment table in a covering manner and forming an internal dark box environment; placing the small-size workpiece visual collection assembly in the internal dark box environment; carrying out the calibration of an industrial camera, and obtaining the value of a pixel single quantity; taking a contour image, and marking a measuring point as a template image; placing a to-be-detected workpiece, respectively turning on parallel light sources at two sides for asynchronous exposure, collecting the upper and lower contour images, carrying out the matching with the template image, moving the measuring point of the template image to the lower contour image, carrying out the fusion of upper and lower contour images, calculating the distance between the lower and upper contour images, and obtaining a result. The device can method can carry out the multipoint detection of the size of the internal groove of a complex workpiece quickly and accurately, is high in detection efficiency, and is high in precision.

The invention provides a hyperspectral image reconstruction method based on a double-ghost attention mechanism network, which is used for performing hyperspectral image reconstruction on a single RGB image, and comprises the following steps: step 1, inputting and processing an RGB image to obtain shallow feature information; 2, enabling the shallow feature information to enter a first double-ghost residual attention module, and obtaining deep feature information; 3, enabling the deep-level feature information to enter a dual-output feature convolution attention mechanism module to extract deeper-level feature information; 4, adding the deeper feature information and the shallow feature information to obtain new features; 5, putting the new features sequentially into subsequent m-1 series double ghost residual attention modules, and finally outputing one feature; 6, performing convolution on the features output in the step 5, and activating to obtain new features; and 7, enabling the feature map with the new features to enter an optimal non-local module, and outputting a hyperspectral image for visualization.

The invention discloses a correction method for aerial surveying and mapping images, which comprises the following steps: setting two reference points in a to-be-measured area, and measuring the horizontal distance between the two points; measuring idealistic distance between two final image points in a final image corresponding to a target scale according to the target scale and the obtained horizontal distance; carrying out aerial photography for to-be-measured area, butting the obtained images so as to obtain an integral original image of the to-be-measured area, and measuring the actual distance between two original image points; and calculating the ratio of the idealistic distance to the actual distance to scale the original image according to the ratio, so as to obtain the final image. Due to the adoption of the method provided by the invention, the image of the target scale can be obtained without conforming to the accurate aerial photography height, accordingly, the precision requirement for the aerial photography height is reduced, and the operation is simpler.

The invention provides a defect image sample processing method and device and a panel defect detection method. The method comprises the following steps: extracting a defect feature region on an original defect image sample, and performing texture suppression on the defect feature region to obtain a first simulated defect image; extracting an ROI (Region Of Interest) equal to the defect feature region in area from the background image sample; extracting background texture features and superposing the background texture features into the first simulated defect image to obtain a second simulateddefect image; and finally, fusing the second simulated defect image and the background image sample to generate a defect image sample. According to the effective method for synthesizing the defect image sample by simulating any scene provided by the invention, the defect area is enabled to have the texture of the existing background through a background texture feature extraction and coverage method, the pixel distribution is closer to the background area, and the image is more natural; therefore, the generated defect image sample can meet the training requirement of a deep learning model, andthe problem of insufficient training samples is solved.

A remote control device is used to control a mechanism with the aid of a movement pattern and/or a distance pattern of at least one moved object. The remote control device has a camera module to receive a stereo image and to detect the moved object. An image evaluation module has a movement evaluation sub-module and a distance evaluation sub-module. A control and communication module of the remote control device, depending on the movement or distance values determined, generates at least one mechanism control signal and sends it to the mechanism to be controlled. An interface module has a data memory, a comparator sub-module and a communication sub-module. The latter, with adequate agreement between the respective actual parameter and one of the desired movement parameters, sends the control signal assigned in the table to the module of the remote control device or to the mechanism.

The invention relates to a propagation path mesh generation based ultrasonic transmission mode tomographic method, the central point of a tested area is taken as the origin of coordinates to constructa rectangular plane coordinate system, an image matrix I is constructed in the rectangular plane coordinate system, N ultrasonic sensors are distributed on the boundary of the tested area, a connecting line of any two ultrasonic sensors is an ultrasonic propagation path, the points of intersection of the ultrasonic propagation paths form an N*N grid matrix P. The traditional square or triangularmesh generation method is changed to irregular shape mesh generation based on the propagation characteristic of the ultrasonic wave to serve as the computing base. On the basis of the ultrasonic propagation path mesh generation method, the mesh generation based ultrasonic tomographic method is given.

The invention relates to a non-coplanar image acquisition device. The non-coplanar image acquisition device comprises the components of a first reflector, a second reflector, a third reflector, a fourth reflector, a rhombic prism, a camera and a light source. The rhombic prism is arranged in a transmission optical path of light reflected from a second side surface. The rhombic prism can perform translational transmission of the light reflected from the second side surface for forming emergent light which is parallel with the light reflected from the second side surface. The second reflector is arranged in a transmission optical path of light reflected from the rhombic prism. The lens of the camera is arranged in an optical path of light reflected from the third reflector and the fourth reflector. The lens of the camera can realize displaying of images of a first side surface and a second side surface in the field-of-view of the lens in a staggered manner. The non-coplanar image acquisition device can simultaneously acquire side surface image information of two non-coplanar surfaces, thereby reducing the number of required cameras. Furthermore the two images of the two side surfaces fill the field-of-view of the camera, thereby sufficiently using the pixel area of the camera and greatly improving precision of an acquired image.

A digital representation of a waveform is generated based on signals received during a recording period. The received signals include a digital clock signal providing a determined number of clock pulses during the recording period, a plurality of binary digital signals defining, for each clock pulse of the determined number of clock pulses, a waveform state associated with the clock pulse. A digital representation of the waveform is generated and storing. The waveform has a duration based on the recording period and a profile based on the defined waveform states associated with the clock pulses of the determined number of clock pulses.

A medical image processing device having a processor configured to: acquire a medical image including an image of a subject; perform a first recognition of the medical image using a first recognizer; determine a confidence level for a recognition result of a first recognition by the first recognition; and perform a second recognition of the medical image using a second recognizer according to the confidence level for the recognition result of the first recognition, the second recognition having higher recognition accuracy than the first recognition.

The present invention discloses a line-width inspection device. The line-width inspection device has a platform, an image capturing device, a main light source device and at least one compensation light source device. The image capturing device is mounted above the platform, aligned with an inspection area of the platform and captures images of a pattern under inspection in the inspection area. The main light source device is disposed above the platform and correspondingly provides forward illumination to the inspection area, and an incident direction thereof is perpendicular to the platform. The at least one compensation light source device is mounted above the platform and provides compensation illumination to the inspection area. The additional compensation light source device can prevent edges of the pattern under inspection from occurring shadows and affecting image capturing, so as to enhance precision of image capturing.

The invention relates to the technical field of geographic information, in particular to a landform three-dimensional dynamic analog display method and system. The landform three-dimensional dynamic analog display method comprises the steps that spatial attribute information of a landform to be displayed is collected in advance; actual time in the spatial attribute information is divided through first time nodes, simulated time in the spatial attribute information is divided through second time nodes, and the actual time and the simulated time are mapped to the same time axis according to the time duration proportional relation; the spatial attribute information of the second time nodes is calculated in a linear mode, and linear interpolation is carried out on the spatial attribute information of the second time nodes; each second time node on the time axis is traversed, and the spatial attribute information corresponding to each second time node is displayed and updated. The landform three-dimensional dynamic analog display system comprises a collection module and a display control module. The landform three-dimensional dynamic analog display method and system have the advantages that analog display of images with higher precision can be achieved, and limitation of the size of a collection area is avoided.

The invention relates to an information identification method, device and system, electronic equipment and a storage medium. The information identification method comprises the steps: obtaining an image sequence of a to-be-identified object, wherein the image sequence comprises at least two frames of images; determining at least one frame of image from the image sequence as a selected image; determining to-be-identified information according to the selected image; and sending the to-be-identified information to a second device, so that the second device obtains a first identification result according to the to-be-identified information. The information identification method further comprises the steps: receiving to-be-identified information of a to-be-identified object; performing first information identification according to the to-be-identified information to obtain a first identification result; and sending identification information to the first device according to the first identification result.

An automatic airview correction method comprises steps: moving a vehicle to an airview alignment pattern; capturing a plurality of airview alignment images of the surroundings of the vehicle; correcting distortion of the airview alignment images to obtain a plurality of corrected images; performing alignment compensation on the corrected images; searching for corner points of the corrected images and converting view point s to obtain a plurality of view angle-converted images; and searching for corner points of the view angle-converted images, and seaming the view angle-converted images to form a panoramic airview and obtain parameters corresponding to the panoramic airview. The present invention can automatically align images and can also automatically detect corner points to seam the images of the surroundings of a vehicle, whereby to form a panoramic airview.