30 results about "Resolution threshold" patented technology

The invention discloses a CT image auxiliary detection method and system for liver focal lesions, and the method comprises the steps: receiving and screening multi-dimensional liver CT image data, and generating a standardized DICOM data set based on a preset layer thickness threshold value, a resolution threshold value and an artifact filtering rule; performing two-stage focus positioning analysis on the standardized DICOM data set, and outputting a focus positioning map containing focus coordinates, sizes and average CT values; starting an interactive image optimization engine based on the focus positioning map, responding to a window width and window level adjustment instruction and measurement tool operation of a physician in real time, generating a dynamically enhanced focus visible range and synchronously updating focus parameters; and integrating the visual field data and the clinical rule base to generate a structured report, automatically filling fields seen by the image by checking a focus list, and outputting a diagnosis proposal meeting the DICOM standard in linkage with an image-text report module. By utilizing the embodiment of the invention, standardization and intelligence of auxiliary diagnosis can be realized, and the accuracy and efficiency of liver lesion detection are improved.

The invention relates to the technical field of data processing, in particular to a small phased array radar data real-time processing system which comprises a jump positioning module, a frame sequence reconstruction module, a window mapping module, a branch binding module and a path synchronization module. In the invention, in the processing of a received frame sampling point sequence, a starting frame site is extracted through a hopping identification threshold value, accurate calibration of a channel and a time intersection point is realized, time base alignment and sequence adjustment are carried out on an out-of-order frame sequence in combination with an index, and a frame recording structure with traceability is constructed; the hopping frequency distribution characteristics of a sliding area are judged through a mapping mechanism, the dynamic response capability to a locking window is enhanced, a resolution threshold limit is introduced to effectively recognize a multi-target state and complete task branch binding, and path synchronization offset is recognized based on real-time sampling difference between locking frames. The timeliness of monitoring of the concurrent path state and tolerance judgment is improved, and stable synchronization of target information extraction and a dynamic path in a data processing link is effectively guaranteed.

The invention discloses a system for measuring color resolution. The system comprises a parameter acquisition module, a visual stimulation generation module, a man-machine interaction module, a process control module and a data recording and analyzing module. The parameter acquisition module acquires measurement parameters; the visual stimulation generation module is used for generating color visual stimulation for measurement; the man-machine interaction module presents stimulation to the measured individual and obtains the identification condition of the measured individual on the visual stimulation; the flow control module controls the measurement process; and the data recording and analyzing module is used for recording the measurement data and analyzing and determining a color resolution threshold value. The color resolution measuring system provided by the invention can quantify the resolution capability of a measured individual to various colors through a targeted visual stimulation design, measurement process control and data analysis method, can adjust the measurement precision through parameter setting, has a simple task design and operation mode, and is suitable for large-scale popularization and application. The method is suitable for evaluating animal functions and has a wider application prospect.

The invention discloses a millimeter wave detection complex scene analysis method and a millimeter wave detection complex scene analysis system, relates to the technical field of millimeter wave analysis, and is used for solving the problem that the probability of misjudging a target state by a system is increased due to a target speed identification error. Calculating a radial speed of a target object; acquiring acceleration and tension data of a conveyor belt; calculating acceleration power spectral density and tension change rate; evaluating the running state of the conveyor belt; and finally, the target actual speed is obtained by combining the correction speed and the impact factor, the object state is judged according to the minimum speed resolution threshold value of the millimeter wave radar, a conveyor belt control instruction is output, and stable operation of the system is guaranteed.

The invention discloses an image processing method and device, electronic equipment and a readable storage medium, the method is suitable for a display chip, the display chip comprises a main body module and a frame insertion module, and the method comprises the following steps: the main body module receives first image data; the main body module performs super-resolution processing on the first image data to obtain second image data; wherein the resolution of the second image data is greater than that of the first image data; when the resolution of the second image data is greater than a target resolution threshold, the main body module cuts the second image data to obtain third image data; wherein the resolution of the third image data is smaller than or equal to the target resolution threshold, and the target resolution threshold is smaller than or equal to the maximum resolution supported by the frame insertion module; and the frame insertion module performs frame insertion processing according to the third image data to obtain target image data.

The invention provides an image recognition system and method based on a visual handle. The system comprises a visual sensor and a data processing module. The visual sensor is used for collecting a visual handle under a target task; the visual handle is an image of which the resolution is lower than a preset resolution threshold and the image frequency is lower than a preset frequency threshold; the visual sensor comprises at least one imaging camera; the data processing module is used for performing image recognition based on the visual handle to obtain an initial recognition result; and in response to the condition that the initial recognition result meets a preset condition, determining the initial recognition result as an image recognition result of the target task. According to the invention, the structure and parameters of the visual model can be simplified, the robustness of the visual model can be improved, the computing power demand can be reduced, the image recognition speed can be improved, and target recognition can be completed in a complex scene.

The application discloses a color resolution measurement system, comprising a parameter acquisition module, a visual stimulus generation module, a human-computer interaction module, a process control module and a data recording and analysis module. The parameter acquisition module acquires measurement parameters; the visual stimulus generation module generates color visual stimuli for measurement; the human-computer interaction module presents the stimuli to the measured individual and acquires the recognition of the visual stimuli by the measured individual; the process control module controls the measurement process; and the data recording and analysis module records the measurement data and analyzes and determines the color resolution threshold. The color resolution measurement system provided by the application can quantize the resolution capability of the measured individual to various colors through targeted visual stimulus design, measurement process control and data analysis method, can adjust the measurement precision through parameter setting, has simple task design and operation mode, is suitable for animal function evaluation and has a broader application prospect.

A chromaticity attribute evaluation method and apparatus (200), a computer device, a storage medium, and a product. The chromaticity attribute evaluation method comprises: calculating a first chromatic aberration ΔE1 of a chromatic aberration-free group under an illumination light source, the chromatic aberration-free group being a combination of a standard sample and a chromatic aberration-free product (S100); calculating a second chromatic aberration ΔE2 of a group being evaluated under an illumination light source, the group being evaluated being a combination of a standard sample and a product being evaluated (S200); acquiring a false positive probability of determining a chromatic aberration-free group as "having a chromatic aberration" and a true positive probability of determining a group being evaluated as "having a chromatic aberration" (S300); inputting the false positive probability and the true positive probability into a quantization model of the chromatic aberration resolution threshold to obtain a chromatic aberration resolution threshold of the product being evaluated (S400); inputting the false positive probability and the true positive probability into a quantization model of the chromatic aberration determination bias to obtain an estimated determination bias value of the product being evaluated (S500); and on the basis of the chromatic aberration resolution threshold and the estimated determination bias value, acquiring the chromaticity attribute evaluation result of the product being evaluated (S600).

The embodiment of the invention provides a data same-screen pushing method and system for a cloud computer and a medium. The method comprises the steps that pushing data are obtained, the pushing data are sorted according to a pushing sequence, the pushing data are sequentially packaged according to the sorting sequence, and packaging information is obtained; encoding the packet information to obtain encoding information; compiling the coding information according to projection, and analyzing projection resolution; judging whether the projection resolution is greater than or equal to a preset resolution threshold; if yes, projection information is generated, the projection information is pushed on the same screen, and same-frequency display information is obtained; if yes, generating correction information, adjusting projection parameters according to the correction information, and optimizing the projection resolution; by processing the push data, packaging and encoding the push data according to the push sequence, and judging the projection resolution of the codes, the data pushed on the same screen is ensured to be clear, and the data push safety and definition are improved.

A vehicle includes an imaging device which operates a camera. The imaging device includes a and a processor. The processor obtains a first image of a test object via the camera, determines a resolution of the first image, determines a contrast ratio of the first image when the resolution is less than a resolution threshold, compares the contrast ratio to a contrast threshold, activates the cleaning system to clean the camera when the contrast ratio is less than the contrast threshold, obtains a second image of the test object, and sends an alert signal to a driver of the vehicle based on the second image.

The invention provides an image processing method and device, equipment and a storage medium, and is applied to various scenes such as artificial intelligence and large models, and the method comprises the steps: determining the texture complexity of a to-be-processed image; the resolution of the to-be-processed image is greater than a preset resolution threshold; determining a sliding window corresponding to the to-be-processed image according to the texture complexity; segmenting the to-be-processed image based on the sliding window to obtain a preset number of image areas corresponding to the to-be-processed image; inputting the preset number of image areas to a multi-modal large model for object recognition processing to obtain object recognition results corresponding to the preset number of image areas; and combining the object recognition results corresponding to the preset number of image areas to obtain an object recognition result corresponding to the to-be-processed image. According to the embodiment of the invention, the recognition precision of the object in the high-resolution to-be-processed image can be improved.

The present invention provides a refined 3D modeling method and system based on an XR studio, which relates to the field of image processing technology. The system of the present invention includes a 3D modeling unit, an image generation unit, a texture processing unit and a modeling generation unit. The method steps are used to obtain a 3D scene through the 3D modeling unit, and then a playback module image for XR studio display is generated through the image generation unit. The resolution difference between the original model texture and the mapped model texture is compared based on the soft module image. The modeling generation unit controls the texture processing unit to perform image upsampling or downsampling on the model texture according to the human eye resolution threshold, obtains a refined resolution texture and sets the display control logic. In actual use, the model texture selects the refined resolution texture of the corresponding resolution for display according to the preset display control logic, thereby reducing the resolution difference phenomenon caused by different resolutions.

The invention discloses an image controllable generation method and system used in the packaging field. The method comprises: acquiring an initial image; using a visual model and a resolution threshold to screen a package image with a clear and complete main body from the initial image, and marking an image with a high aesthetic score through a rolling type active learning strategy in combination with RankNet; batch automatic marking is carried out, and text content and position information thereof are fixed; a feature sequence is extracted through an encoder, a noisy hidden variable is constructed, and deep interaction among a text, an image and a control chart is carried out through a full bidirectional interaction Transform block so as to generate a package design image. By implementing the method, the data annotation cost can be remarkably reduced, the aesthetic preference accuracy and annotation efficiency can be improved, meanwhile, the defects of an existing controllable generation model in the aspects of structural consistency and Chinese text support are overcome, and the spatial structure consistency and Chinese text loyalty of a finally generated image are improved.

The present application relates to a method for assisting in controlling a vehicle using improved image fusion information, the method comprising: during an assisted driving function activation period of the vehicle; performing interpolation processing on pixel data about the following target object in the acquired image data about the environment in front of the vehicle: the resolution of the pixel data about the target object is lower than a preset resolution threshold (S1); and determining image fusion information about the target on the basis of the interpolated image data, and controlling an aided driving function of the vehicle on the basis of at least the determined image fusion information (S2). According to the invention, the accuracy and smoothness of the contour curve of the target object are improved, and then the pixel resolution of the target object is improved, so that the vehicle can recognize a long-distance or small-size target object earlier and more accurately. The safety and the performability of the auxiliary driving function with the image fusion information as the control basis are effectively improved, and then the maximum speed limit of the vehicle can be improved.

The application discloses an image shooting method, an electronic device, a storage medium and a computer program product. The method comprises the following steps: in response to a target image acquisition instruction, calling a target camera of a vehicle intelligent driving system to collect image data, wherein the target image acquisition instruction is sent to the vehicle by an external terminal in communication connection with the vehicle, and the resolution of the target camera is higher than a preset resolution threshold. In this way, the application directly calls the target camera of the vehicle intelligent driving system to carry out image data collection work in response to the target image acquisition instruction sent by the external terminal in communication connection with the vehicle, effectively reduces the hardware cost of the vehicle for realizing the image shooting function, fully utilizes the high-definition camera resources of the intelligent driving system, and avoids the idle waste of the vehicle hardware function.

The invention provides an image processing method and device, electronic equipment and a storage medium, and the method is applied to the field of image processing, and comprises the steps: obtaining N feature maps of a to-be-processed image outputted by a semantic segmentation model; n is greater than 1, each feature map corresponds to one category, and the resolutions of the N feature maps are all smaller than a preset resolution threshold; copying the N feature maps into a memory; pointers corresponding to the N feature maps are controlled to synchronously move in the N feature maps in the memory, and feature data pointed by the N pointers are obtained; according to the feature data, determining a semantic segmentation result of a first resolution corresponding to the to-be-processed image; wherein the semantic segmentation result comprises a category corresponding to each pixel position, and the first resolution is smaller than a preset resolution threshold. According to the method, the resource occupation amount and the calculation amount can be reduced in the post-processing process of semantic segmentation.

The invention relates to a display method and device, a vehicle, a storage medium and a program product, and relates to the field of intelligent cabins, the method is applied to a first terminal, and the method comprises the steps that in response to a parameter acquisition request for a target page, a first resolution is sent to a second terminal, the first resolution is a display resolution of the target page on a display screen of the first terminal, and the second terminal is a second terminal; the first resolution is greater than or equal to a preset resolution threshold. And receiving display data sent by the second terminal. The second resolution of the display data is determined according to the first resolution. And displaying the target page on the display screen according to the display data. Since the first resolution sent to the second terminal is greater than or equal to the preset resolution threshold, the second terminal can send the display data greater than or equal to the preset resolution threshold to the first terminal, so that the content size in the target page displayed by the first terminal can be ensured to be large and be matched with the display screen of the first terminal, and the user experience is improved. Therefore, the use experience of the user is improved.

This application discloses a model training method, the method comprising: acquiring a sample environment image of the environment in which a sample driving object is located; wherein the resolution of the sample environment image is greater than a target resolution threshold; performing feature extraction on the sample environment image to obtain a first sample feature map; performing feature extraction on the image of a target region in the sample environment image to obtain a second sample feature map; and training the dimensionality transformation network, classification network, and regression network of an initial information detection model based on the first sample feature map and the second sample feature map to obtain a target information detection model. This application also discloses an information determination method, apparatus, device, storage medium, and computer program product.

A vehicle includes an imaging device that operates a camera. The imaging device includes a processor. The processor obtains a first image of the test object via the camera, determines a resolution of the first image, determines a contrast of the first image when the resolution is less than a resolution threshold, compares the contrast to a contrast threshold, activates the cleaning system to clean the camera when the contrast is less than the contrast threshold, obtains a second image of the test object, and transmit an alert signal to a driver of the vehicle based on the second image.

The invention discloses a method and device for three-dimensional rendering of large DEM data, a medium and a program product, and the method comprises the steps: obtaining original DEM data, converting the original DEM data based on a preset target geographic coordinate system, and obtaining basic raster data; performing iterative resampling on the basic raster data based on a preset down-sampling strategy until raster data generated by resampling meets a preset minimum tile resolution threshold, and obtaining a plurality of layers of raster data; dividing each layer of raster data based on a preset tile size to generate tile data; storing the tile data and the corresponding metadata into a preset database; obtaining a rendering parameter, and calculating an index set and a loading priority of the to-be-loaded tile based on the rendering parameter; matching tile data from a preset database based on the index set, and performing gridding processing on the tile data to generate a terrain geometric object; and rendering the terrain geometric object based on a preset scene to complete visual display.

A vehicle includes an imaging device that operates a camera. The imaging device comprises a sensor and a processor. The processor receives an initial image of a test object via the camera, determines the resolution of the initial image, determines the contrast ratio of the initial image if the resolution is less than a resolution threshold, compares the contrast ratio with a contrast threshold, activates the cleaning system to clean the camera if the contrast ratio is less than the contrast threshold, receives a second image of the test object, and sends an alarm signal to the vehicle's driver based on the second image.

The present disclosure provides an image shooting processing method, device and equipment and storage medium, the method comprises the following steps: in response to the shooting component opening instruction, the shooting component is opened, the preview stream resolution list is acquired, if the target preview stream resolution greater than the preset resolution threshold is included in the preview stream resolution list, the preview stream of the target preview stream resolution is opened, in response to the image shooting operation, the first target image frame is acquired from the preview stream as the shooting result image. The present disclosure realizes the image shooting function by opening the preview stream of the target preview stream resolution and acquiring the first target image frame from the preview stream of the target preview stream resolution after receiving the image shooting operation, avoids the problem of long image shooting time caused by a series of pre-operation, thereby reducing the overall time consumption of image shooting.

The application discloses an image rendering method of an object. The method comprises the following steps: starting image monitoring on an object to be monitored, and acquiring an original image monitored under a current view angle; calling a hybrid neural radiance field model and a super-resolution model generated after joint training; rendering the original image by using the hybrid neural radiance field model to obtain a first rendered image monitored under the current view angle, wherein the resolution of the first rendered image is less than a first resolution threshold; and performing resolution amplification processing on the first rendered image by using the super-resolution model to obtain a second rendered image monitored under the current view angle, wherein the resolution of the second rendered image is higher than a second resolution threshold. The application solves the technical problem of low image rendering efficiency.

The invention provides a sampling time adjustment method, a rotating speed calculation method and a related system, and relates to the field of motor rotating speed measurement. In the application, when the encoder is used for measuring different motor rotating speeds, the maximum resolution corresponding to the motor rotating speeds is determined, and the maximum resolution corresponding to different motor rotating speeds is smaller than the preset resolution threshold, so that when the motor rotating speeds are measured, in a high-medium-low-speed scene, the resolution numerical value difference is small, and the resolution precision difference is not large; therefore, when the target sampling time calculated based on the maximum resolution is used for measuring the rotating speed of the motor, the measurement precision is stable, the accuracy of the measured rotating speed of the motor is relatively high, and the accuracy of a subsequent equipment control process is improved.

The present disclosure relates to a video super-resolution processing method, a video super-resolution processing device, and a storage medium. The video super-resolution processing method includes: obtaining a video to be processed, and determining a frame to be processed in the video to be processed; if the resolution of the frame to be processed is greater than a resolution threshold, determining a first processing area in the frame to be processed, and super-resolution processing is performed on the first processing area based on a deep learning model, wherein the first processing area is a partial area in the frame to be processed. Through the embodiments of the present disclosure, while ensuring the video super-resolution processing effect of the video to be processed, the real-time requirements of video super-resolution are met, and a balance is achieved between the video super-resolution effect and the real-time performance of video super-resolution.

The invention belongs to the technical field of cryoelectron microscope data processing, and provides a cryoelectron microscope density map database construction method and system, a storage medium and equipment. The method comprises the following steps: acquiring high-resolution density map data in EMDB, acquiring a corresponding electron microscope picture according to a high-resolution density map, and acquiring two-dimensional particle data and a reproduction density map through a preset data processing flow; comparing and checking the reproduced density map based on the high-resolution density map; establishing a sampling task and a reconstruction task for randomly sampling two-dimensional particle data and performing three-dimensional reconstruction in combination with the high-resolution density map; and generating a preset number of random numbers according to a preset rule, setting the random numbers as parameters of the sampling task, repeatedly running the sampling task and the reconstruction task, and if the obtained low-resolution density map conforms to a preset resolution threshold, storing the low-resolution density map into a database and setting a label. According to the cryoelectron microscope density map database construction method, the number and quality of low-resolution density maps are improved.

The invention discloses an instrument curve extraction method based on machine vision. An extraction device of the extraction method is composed of a USB camera, an industrial personal computer and a curve display window of the instrument, a curve display interface image is shot through the USB camera, the industrial personal computer is provided with a curve extraction algorithm, and the curve extraction algorithm comprises the following curve extraction steps that (1) the shot image is converted into a grey-scale map; (2) determining a curve gray scale range according to multiple clicks on the curve; (3) determining a background gray scale range according to multiple clicks on the background; (4) respectively determining a curve resolution threshold value and a background resolution threshold value; and (5) converting the grey-scale map of the curve into a binary image. According to the curve extraction method, a general camera is adopted to shoot a curve display window of an instrument, curve data are extracted through an algorithm and output in a standard format, equipment automation can be achieved, the algorithm logic is transparent and simple, and maintenance and secondary development are facilitated.

The embodiment of the invention provides a map making method and device, electronic equipment and a storage medium, relates to the technical field of image processing, and is suitable for the fields of financial science and technology and medical health. The method comprises the steps that an image resource server storing an original map is determined, map information of the original map is acquired from the image resource server, and the map information comprises a layer name and a resolution threshold value of an original layer; grouping each original layer according to each resolution threshold to obtain a layer information group; generating a layer group acquisition request according to the minimum resolution threshold in each layer information group and the name of each layer; each layer group acquisition request is sent to an image resource server, a target layer group is received, and the target layer group comprises at least one original layer; adjusting the resolution of each original layer to a preset resolution to obtain a target layer; and generating a target map according to each target layer. According to the embodiment of the invention, the map making reliability can be improved.

The present invention discloses a path planning method based on an adaptive multi-resolution A* algorithm of an octree map, comprising: 1) obtaining octree map information and publishing it to a path planning node; 2) adjusting the current map depth and performing path planning in the octree map using an improved adjacent node search strategy at the current depth to obtain a path T1; 3) selecting the end point of a second path planning from the path planned for the first time according to a variable resolution threshold, deleting the path points between the starting point and the end point of the second path planning from the path, adjusting the current map depth again, performing a second path planning at a higher resolution, and obtaining a path T h ;4) Compare the obtained path T1 with the path T h The images are stitched together to obtain a multi-resolution path T with a higher resolution at close range and a lower resolution at long range. The method of the present invention can significantly increase the running speed of the algorithm and can generate a safe path suitable for mobile robots to travel more quickly than existing algorithms.

The application discloses a CT image auxiliary detection method and system for liver focal lesions, and the method comprises the following steps: receiving and screening multi-dimensional liver CT image data, generating a standardized DICOM data set based on preset layer thickness threshold, resolution threshold and artifact filtering rules; performing two-stage lesion positioning analysis on the standardized DICOM data set, and outputting a lesion positioning atlas containing lesion coordinates, size and average CT value; starting an interactive image optimization engine based on the lesion positioning atlas, responding to the window width and window level adjustment instructions and measurement tool operations of a doctor in real time, generating a dynamically enhanced lesion visual field and synchronously updating lesion parameters; integrating the visual field data and a clinical rule base to generate a structured report, automatically filling the image findings field by checking the lesion list, and outputting a diagnosis proposal conforming to the DICOM standard through a graphic-text report module. By using the embodiment of the application, the standardization and intelligentization of auxiliary diagnosis can be realized, and the precision and efficiency of liver lesion detection are improved.