54 results about "Topographical mapping" patented technology

The invention relates to the technical field of intelligent medical treatment, and discloses a cataract surgery navigation control method based on multi-modal fusion, which comprises the following steps: carrying out lightweight preprocessing on an eye fundus image, ultrasonic probe data, a corneal topographic map and intraocular pressure parameters through an edge computing architecture, and constructing an efficient feature extraction network by adopting a knowledge distillation technology; self-adaptive feature fusion is realized based on an uncertainty quantification mechanism, real-time structure recognition is provided by utilizing an augmented reality technology, an intelligent navigation strategy is generated by pre-training a reinforcement learning model, an instrument control system with multilayer safety guarantee is established, and continuous optimization of the system is realized by adopting an online learning mechanism. According to the invention, the precision and safety of the operation are effectively improved, and an effective technical scheme is provided for intelligent navigation control of the cataract operation.

The invention discloses a three-dimensional convolution method for decoding an imaginary language electroencephalogram topographic map. The method solves the problem that for a multi-rhythm electroencephalogram topographic map, an existing convolutional network method is insufficient in modeling capability, so that the decoding precision of the multi-rhythm electroencephalogram topographic map in an imaginary language is remarkably reduced. In the aspect of rectangular BEAM reconstruction, a frequency band specificity self-adaptive variation Kriging interpolation model is built, an optimal variation function is automatically selected according to spatial variation characteristics of electroencephalogram power of each frequency band, a high-resolution BEAM graph sequence under multiple frequency bands and multiple time steps is built, and spatial continuity and CNN structure adaptability are considered. A double-branch three-dimensional convolutional neural network is designed, high-dimensional feature extraction is performed on space-time and space-frequency band tensors, a multi-scale structure and dynamic expression ability of neural activity are mined, discrimination of two feature vector branches is dynamically weighted, and the recognition ability of a classifier to a language imagination electroencephalogram mode is improved.

The invention discloses an OK lens offset quantitative detection method and system based on a corneal topography map, and the method specifically comprises the following steps: carrying out the preprocessing of the corneal topography map, intercepting a lower half region, converting the lower half region into an HSV color space, and separating the brightness and chrominance information; extracting cornea sclera boundaries and OK lens red and green mark areas through dynamic threshold segmentation, and determining boundary key points and lens mutation point coordinates in combination with a sub-pixel level positioning technology; a standardization coefficient is dynamically calculated through the cornea diameter, and the pixel distance is converted into the actual physical offset. Through multi-modal feature fusion and dynamic parameter adjustment, the positioning error is reduced to + / -0.02 mm, the single time consumption is less than 5 seconds, and the method has the robustness of illumination interference resistance, motion blur resistance and individual cornea size difference, and provides an efficient and objective quantitative basis for evaluation of the wearing effect of the OK lens.

The invention relates to the field of image processing, in particular to a fiber impurity detection method based on machine vision, which comprises the following steps: acquiring a loose cotton fiber image and preprocessing; impurity segmentation and feature extraction are carried out on the preprocessed image based on improved watershed transformation, a watershed topographic map is modulated by analyzing local structure coherence and regional structure stability of the image, and over-segmentation is inhibited; and finally, performing impurity judgment and result output based on the extracted features. Finally, cotton fiber background texture interference is effectively overcome, impurities are accurately segmented, and the detection accuracy is improved. The method comprises the following steps: acquiring and preprocessing a cotton fiber image; segmenting impurities by using a watershed algorithm improved based on local structure stability; and judging impurities according to the characteristics and outputting a result.

The invention relates to the technical field of medical signal processing, and discloses an anesthesia depth multi-level classification information assessment method and system, and the method comprises the steps: collecting an electroencephalogram signal, and carrying out the preprocessing operation of the electroencephalogram signal, and obtaining signals of five frequency bands; global field power is calculated for all electroencephalogram signals of each frequency band, and a peak topographic map is identified; performing clustering analysis to extract a micro-state template, and matching and reconstructing a micro-state time sequence; and establishing a feature screening and classification identification model, inputting each frequency band signal into the feature screening and classification identification model, screening the extracted micro-state features, carrying out multi-level classification on the anesthesia depth, and finally outputting an anesthesia depth evaluation result. The system comprises an electroencephalogram collecting and processing module, a clustering reconstruction module and an anesthesia depth evaluation module. According to the method, the preprocessed electroencephalogram signals are decomposed through Hilbert-Huang transform, and anesthesia depth evaluation is achieved.

The invention discloses a dynamic interpolation brain topographic map drawing system and method. An electroencephalogram signal collecting and preprocessing module obtains window data based on collected electroencephalogram signals; the feature extraction module is used for converting the electroencephalogram signals in a time domain to a frequency domain by utilizing fast Fourier transform based on the window data, respectively calculating a frequency band power spectrum and a total power spectrum of a total band-pass range for each target band on the frequency domain, and calculating an energy ratio of each target band according to each frequency band power spectrum and the total power spectrum; determining a standard deviation of the window data based on each piece of window data; the interpolation calculation module dynamically adjusts the smoothing coefficient of the interpolation method according to the energy ratio and / or the standard deviation of each target frequency band; performing spatial interpolation calculation on the normalized window data by using an interpolation function according to the smoothing coefficient to obtain an interpolation grid; the brain topographic map drawing module draws a two-dimensional brain topographic map. According to the method, the quality and practicability of the interpolation result are improved, and detail display is improved.

The invention discloses an orthokeratology parameter optimization method and system, a medium and a product, and relates to the technical field of data processing. By implementing the method, the system is optimized to obtain the corneal topographic maps of the patient before and after the standardized mechanical stress is applied, and point-to-point comparison is carried out, so that the corneal dynamic response deformation map for quantifying actual corneal deformation is obtained. The individualized corneal shaping response coefficient calculated based on the corneal dynamic response deformation map objectively reflects the sensitivity of the cornea of the patient to the mechanical stress. Different from related technologies which only depend on static data and empirical formulas, the method has the advantages that the orthokeratology lens parameter set is subjected to targeted correction through the individualized orthokeratology response coefficient, on one hand, the shaping effect deviation caused by the difference of individual cornea biomechanical characteristics (such as elasticity and viscosity) can be corrected, and on the other hand, the orthokeratology lens parameter set can be corrected; and on the other hand, a finally generated personalized orthokeratology lens parameter set can be more predicated and matched with an actual orthokeratology result.

A roofing tile is described featuring a digitally defined three-dimensional surface profile with controlled minimum and maximum heights and a specified average surface roughness (Ra). The topographical map, generated by computer algorithms—potentially using grey-level speckle maps—enables precise assignment of surface elevations and independent control of roughness parameters. This digital map is material-agnostic and applicable to tiles made from materials such as thermoplastic vulcanizate (TPV), ethylene-propylene-diene terpolymer (EPDM), or polymer-modified asphalt. The surface may include granule-like protrusions or other features, with their size and distribution tailored for functional or aesthetic purposes. The digital topographical map may guide manufacturing equipment to form the surface, and compliance may be verified by three-dimensional profiling. Methods for generating and measuring the surface profile, including pseudo-random algorithms and region-specific roughness, are provided, allowing for customizable, repeatable, and high-performance roofing tile surfaces.

This invention discloses a safety protection system for water conservancy projects based on big data, comprising: a database for centralized information management of digital topographic maps, aerial photographs, and digital topographic model data; an environmental monitoring module for acquiring and locating safety hazard monitoring data, and processing the safety hazard monitoring data into wireless signal data via an information processor for transmission to an environmental data storage module; an environmental data storage module for statistical analysis of safety hazard information; and an environmental judgment module for classifying and classifying safety hazard information based on real-time monitoring data, transmitting information indicating potential dangers to the environmental monitoring module to achieve timely location of safety hazards. This invention can effectively ensure the safety and stability of water conservancy projects.

1. The name of the design product: hand book (R80). 2. The use of the design product: Beidou handheld intelligent terminal, suitable for municipal survey, geographic information, construction lofting, earthwork survey, GNGG control network layout, topographic mapping, etc. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: front view.

Disclosed is a system 1000 for determining a virtual representation of at least part of an environment 800 that is navigable by a ship 700. The system has at least one beacon 101, 102, 201, 202, 301, 302, 401-403 remote from the ship. The or each beacon comprises at least one sensor 411-415 for sensing surroundings information representative of at least part of the environment, a transmitter 420, and a controller 430 connected to the at least one sensor and configured to cause the surroundings information to be transmitted via the transmitter. The system also comprises a control centre 500 remote from the ship. The control centre comprises a receiver 520 configured to receive the surroundings information, and a control unit 530 connected to the receiver and configured to determine a virtual representation of at least part of the environment based on the surroundings information. The virtual representation may comprise a topographical map, such as a LIDAR map.

The embodiment of the invention discloses a semantic segmentation model training method and a semantic segmentation method, the semantic segmentation model training method can be applied to a digital topographic map, the semantic segmentation model training method comprises the steps that a sample image is acquired, and each sample instance in the sample image has a corresponding category label; inputting the sample image into a preset model, and triggering the preset model to execute the following operations: down-sampling the sample image to obtain at least one first feature; performing up-sampling on the at least one first feature to obtain at least one second feature; performing semantic segmentation on any second feature to obtain a segmentation result; based on any second feature and each category label, determining a corresponding instance feature loss, the instance feature loss indicating a feature loss under a sample instance granularity; determining semantic segmentation loss based on the segmentation result and each category label; and adjusting parameters of a preset model based on the instance feature loss and the semantic segmentation loss to obtain a semantic segmentation model. According to the embodiment of the invention, the semantic segmentation effect is remarkably improved.

A system enables interactive real-time refreshable tactile graphics and braille together enabling blind or visually impaired users to experience and interact with graphics and visual events live and in three dimensions. The tactile graphic display can set each pin in an array of pins to different intermediate heights, enabling users to experience topographical maps and other graphical elements such as shades and color represented as varying heights of pins. The system can simultaneously display high quality of tactile graphics and braille while allowing direct interaction with all digital media-providing real-time refreshable graphics and text in braille. The touch capability of the system enable users to point to any text on the graphic display and have it be instantly rendered in braille on the braille display, thus creating completely new paradigms for reading and creating content. The system further allows continuous monitoring of the touch data in real-time and updating the braille display with any corresponding text.

This invention proposes a multi-layer fusion method and system for pathological images based on self-supervised training and continuous depth field. This method addresses the problems of label dependence and loss of high-frequency biological details caused by neural network spectral bias in existing fluorescence microscopy image fusion. It uses a three-dimensional convolutional neural network to encode spatial and depth joint features of multi-layer image sequences, and decouples the predicted continuous depth field topographic map and foreground confidence mask in parallel. A physically differentiable rendering layer calculates fusion weights based on the continuous depth field to complete weighted fusion, and combines mask soft suppression to output a full depth-of-field image. A self-supervised joint loss function, including high-frequency focusing loss, depth smoothing loss, and mask constraint loss, is constructed based on physical optics priors. The physical correlation between the input sequence and the fused image is used as a supervision signal for closed-loop optimization. High-fidelity fusion can be achieved without manual annotation, effectively preserving the details of minute biological structures.

To provide a boundary line extraction device, a boundary line extraction method, and a program which can extract a boundary line of a geographic feature with higher accuracy.SOLUTION: The boundary line extraction device analyzes a microtopographical representation diagram to extract a boundary line of an area where a prescribed topographic feature appears. The boundary line extraction device comprises: storage means in which a trained model is stored, wherein the trained model is preliminarily trained so as to, in response to input of a microtopographical representation diagram, output a boundary area obtained by extending a line width of a boundary line of an area where a topographical feature appears in the microtopographical representation diagram; acquisition means which inputs a microtopographical representation diagram being an analysis object to the trained model to acquire a boundary area outputted from the trained model; and extraction means which thins the boundary area acquired by the acquisition means and extracts a boundary line of an area where a topographic feature appears in the microtopographical representation diagram being the analysis object.SELECTED DRAWING: Figure 2

The invention belongs to the field of laser processing, and discloses a visual axis center automatic alignment system, device and method. The system comprises an imaging module used for obtaining a corneal topographic map; the adjusting module is used for S1, determining deflection angles of the visual axis around the x axis and the y axis according to the corneal topographic map; generating primary scanning track data according to the corneal topographic map and preset micro-lens parameters; performing three-dimensional rotation transformation on the primary scanning track data; s2, segmenting the three-dimensional point cloud data obtained in the S1 into slice point cloud data of different z-axis planes, performing fitting to obtain each layer of fitting elliptical trajectory, and judging light emitting point information on the fitting elliptical trajectory; and generating a plurality of concentric elliptical trajectories according to each layer of fitting elliptical trajectory and the light emitting point information, and forming a shape envelope of a preset micro lens. According to the system, one-time scanning track data is resampled and fitted, motion compensation of the eyeball off-axis is achieved, and therefore the precision and effect of automatic alignment of the visual axis center are improved.

A system is provided.SOLUTION: A system includes a terminal unit that acquires position information, a terminal unit that captures at least one image data, a server unit that receives the position information and the image data transmitted from the terminal unit and acquires altitude data, a server unit that generates a topographical image from which an artificial object is excluded by using an image generation AI based on the acquired altitude data, and a server unit that transmits the generated topographical image to the terminal unit.SELECTED DRAWING: Figure 1

The application discloses a kind of based on topographic map analysis fetal electrocardiosignal dynamic analysis and fetal state and prediction method, collect clinical pregnant woman abdominal electric signal, obtain fetal electrocardiosignal by pre-processing and signal separation technique, construct signal dynamic analysis benchmark data set.It designs topographic map analysis algorithm suitable for fetal electrocardiosignal, constructs signal state template, generates the time series change graph of fetal electrocardiosignal state, with the state statistical parameter sequence with annotation as the benchmark data set of fetal state prediction;Construct decision tree model, train the training data set of state statistical parameter sequence, obtain trained model;The test set of state statistical parameter sequence is input into decision tree model, and fetal state is predicted.The present application solves the limitation of existing non-invasive fetal electrocardiosignal monitoring in interpretation, visualization and fetal state prediction, significantly optimizes the readability, interpretability and fetal state prediction performance of visualization result.

The application relates to the technical field of topographic mapping, in particular to an interactive DEM smoothing method; the method comprises the following steps: S1, inputting original DEM data; S2, identifying abnormal values in the inputted original DEM data; S3, marking the identified abnormal values in a highlighted form on a two-dimensional terrain view in real time, superimposing an original contour line layer, obtaining a superimposed elevation map, setting a frame selection range, setting a frame selection range for each abnormal value on the superimposed elevation map, correcting the elevation values of each elevation point in the frame selection range, and obtaining corrected DEM data; the application improves the efficiency of DEM abnormal point correction.

1. Name of the design product: Mobile Measuring Instrument (High-precision SLAM RTK). 2. Use of the design product: For applications such as heap measurement, elevation measurement, 3D modeling, underground space measurement, topographic map repair survey, mining area, forestry measurement, etc. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Stereogram 1.

The invention relates to the technical field of communication, and discloses a map display method, electronic equipment and a storage medium, and the map display method comprises the following steps: obtaining map display information of a current window; obtaining target tile data corresponding to the map display information by using a pre-stored original data table and / or a pre-stored generalization data table; rendering according to the target tile data so as to display on a window; an original data table and / or a generalization data table are / is pre-stored, when map display information required by a user on a current window is acquired, corresponding target tile data are acquired according to the pre-stored original data table and / or the pre-stored generalization data table, and rendering is performed according to the target tile data to display on the window. The operand in the rendering process is reduced, and the rendering efficiency is improved; moreover, due to the fact that the calculation amount of single-time rendering is reduced, the method can correspond to scenes with complex topographic maps and large user data amount, and expansibility is good.

The invention discloses a corneal difference intelligent identification system and method based on deep learning, and relates to the technical field of ophthalmology medical treatment, corneal topography maps and corneal difference maps before and after a shaping lens is worn are used as input features, and the corneal difference maps are classified by identifying the position and structural integrity of a defocus ring. And a comprehensive analysis method is formed by combining review and verification of a doctor, so that the evaluation accuracy of the corneal shaping effect is improved, and the possibility of misjudgment and missed judgment is reduced. According to the method, the multi-level Resnet50 corneal difference recognition model is trained by using a large batch of data, automatic recognition and analysis of the corneal difference chart are realized, the corneal shaping effect can be quickly and accurately evaluated, the time and errors of manual analysis are reduced, and the method can replace a deep ophthalmologist to assist in judging the effect of a shaping lens.

According to the multi-model-based intelligent fitting method and system for the multi-modal orthokeratology lens, parameters most matched with the corneal morphology of a patient are automatically screened out from candidate lenses through a recall model, and the defects of an experience-dominated traditional method are overcome; and optimizing lens selection by using a sorting model: further selecting the lens with the best shaping effect from the screened candidate lenses through the sorting model. The sorting model considers two standards, namely the eye axis growth speed and the type of a difference map of corneal topography before and after lens matching, so that the accuracy of personalized treatment is improved. Through objective evaluation of the eye axis growth speed and the difference map type of the corneal topography map, subjectivity in a traditional method is avoided, and the shaping effect can be evaluated more accurately.

This invention discloses a method and system for inverting strong convection along a power transmission line. The method includes: acquiring historical meteorological radar images and DEM data along the power transmission line, and fusing the historical meteorological radar images and DEM data to obtain a topographic image; inputting the topographic image into a convolutional neural network pre-constructed based on topographic weighted features, and generating an initial predicted inversion image corresponding to the topographic image based on the initial network parameters in the convolutional neural network; constructing a target loss function for the convolutional neural network based on the topographic image and the initial predicted inversion image, and training the convolutional neural network based on the target loss function to obtain a strong convection inversion model for the power transmission line; inputting the acquired real-time topographic image into the strong convection inversion model for the power transmission line, and the strong convection inversion model predicts the inversion image in real time. This method can accurately locate the core of strong convection, improve high-resolution edge details, and enhance generalization and robustness in complex scenes.

The invention belongs to the field of biomedical engineering industry, and provides a low-temperature plasma radiofrequency ablation power regulation system based on vocal cord leukoplakia treatment, which comprises the following steps of: firstly, constructing an impedance topographic map of a vocal cord lesion and non-lesion area, planning an ablation route through clustering analysis, monitoring an impedance jump point during an operation, and judging an electrode pollution state; when pollution exists, an impedance jump point-pollutant area coupling model is established, pollution interference is stripped, the real impedance of the tissue is reversely deduced, and then the radiofrequency ablation power is adjusted in real time based on the model; the system realizes dynamic adaptation of power and real impedance of tissue, improves ablation accuracy, reduces normal vocal cord tissue damage, reduces postoperative recurrence rate, and ensures safety and effectiveness of surgery.

A three-dimensional convolution method for imagined language electroencephalography (EEG) topography decoding. It solves the problem of the deficiency of the existing convolutional neural network method in modeling ability for multi-rhythm EEG topography, which leads to a significant decline in decoding accuracy in imagined language. In the aspect of rectangular BEAM reconstruction, a frequency-specific adaptive variogram kriging interpolation model is built, which automatically selects the optimal variogram function according to the spatial variation characteristics of the EEG power of each frequency band, and constructs a high-resolution BEAM map sequence under multi-frequency and multi-time steps, taking into account the spatial continuity and the adaptability of the CNN structure. A double-branch three-dimensional convolutional neural network is designed to extract high-dimensional features from spatial-time and spatial-frequency tensors, respectively, to explore the multi-scale structure and dynamic expression ability of neural activity. The discriminative ability of the two feature vector branches is dynamically weighted to improve the recognition ability of the classifier for the EEG pattern of language imagination.

The present invention pertains to an arrow tracking system that enables a user to locate an arrow after it has been launched. The system includes a nock with an inner housing designed to enclose a GPS module controlled by a micro-controller (MCU). The MCU is activated by a plunger sliding within the nock and also controls a light signaling GPS activation. In certain embodiments, the system comprises a two-unit configuration with a transmitter unit housed within the nock and a receiving unit carried by the user. The transmitter unit includes a nock GPS module, transceiver, and plunger-activated switch. The receiving unit includes a receiving controller coupled to a receiver GPS module and transceiver that calculates distance and directional bearing between units. The receiving unit displays real-time positioning on topographical maps via an integrated screen or mobile device, enabling efficient arrow recovery.

Measurement apparatuses and methods are disclosed for generating high-precision and-accuracy gas concentration maps that can be overlaid with 3D topographic images by rapidly scanning one or several modulated laser beams with a spatially-encoded transmitter over a scene to build-up imagery. Independent measurements of the topographic target distance and path-integrated gas concentration are combined to yield a map of the path-averaged concentration between the sensor and each point in the image. This type of image is particularly useful for finding localized regions of elevated (or anomalous) gas concentration making it ideal for large-area leak detection and quantification applications including: oil and gas pipeline monitoring, chemical processing facility monitoring, and environmental monitoring.

This invention discloses a construction site management system based on a smart supervision APP, including: a region division module, which marks dangerous work points on the topographic information of the acquired construction area topographic map, and sets dangerous work areas and monitoring areas within the construction area according to the topographic information. It relates to the field of construction management technology, and can predict whether there are suspicious personnel intending to enter dangerous work areas based on personnel location and walking dynamics, obtain the work point location of suspicious personnel for subsequent relevant deployment, avoid the problem of unrelated construction personnel accidentally entering dangerous work areas and causing safety accidents, improve the safety control effect, and realize standardized safety management of construction sites.

This invention discloses a non-invasive detection method and device for pediatric dry eye syndrome based on gaze-induced fixation, belonging to the field of ophthalmic medical device technology. The method includes: providing Placido, diffuse white light, and dual-ring infrared illumination modes, and providing visual guidance based on positive and negative stimulus feedback; simultaneously recording ocular surface video; performing image stabilization; capturing spatiotemporal features to obtain non-invasive tear film breakup time and an optimized tear film stability topography map; performing semantic segmentation and feature extraction to obtain a quantitative lipid layer thickness value; and using a preset closure threshold comparator to obtain the proportion of incomplete blinking. This invention can significantly prolong the effective eye-opening and stable gaze time in children, obtain extremely stable micron-level ocular surface video, and integrate three core indicators: NIBUT, LLT, and blink dynamics.