21 results about "Image integration" patented technology

The invention belongs to the technical field of abnormal behavior person recognition, and particularly relates to an abnormal behavior person recognition method based on multi-source monitoring image integration. The method comprises the steps of obtaining original video data of a plurality of cameras in a target area; judging whether a person completely appears or partially disappears through an attitude estimation and semantic segmentation model, carrying out inter-frame sampling by taking the judgment as a starting point and a stopping point, and retaining time-space information; preprocessing the image frames, and extracting static posture and dynamic behavior characteristics; fusing dynamic behaviors, appearance and position information to realize cross-camera personnel identity association and construct a behavior track sequence; and matching the trajectory with a preset template, and calculating a deviation score in combination with time consistency, position path similarity, an action matching degree and an abnormal fragment confidence aggregation value to recognize abnormal personnel. The method breaks through the limitation of a single visual angle, improves the low-illumination recognition precision, solves the problem of cross-visual-angle identity breakage, and improves the recognition accuracy and traceability of abnormal behaviors.

This invention relates to the field of image management technology, specifically to an image data integration method based on multi-point image acquisition. It constructs an adaptive image integration reinforcement learning training framework, relying on a digital twin scene model to replicate the hardware characteristics and physical interference of the actual acquisition environment. Combined with the dynamic input / output design of the multi-point image integration agent, a priority experience playback mechanism, and stable training optimization logic, it improves training stability and policy generalization, avoiding fluctuations in integration effects caused by hardware parameter drift in real-world scenarios, and breaking the limitations of traditional fixed processes adapting to dynamic scenarios. Simultaneously, it designs an innovative reward system: a sharpness reward eliminates background interference and filters false gradients; a consistency reward focuses on overlapping areas and avoids extreme deviation interference; and a completeness reward distinguishes defect weights to ensure the retention of key defects. These three factors guide the agent strategy to meet industrial inspection requirements.

The present application belongs to the technical field of agricultural informatization, and particularly relates to a crop planting information monitoring method based on multi-source satellite remote sensing data, which comprises the following steps: multi-spatial resolution remote sensing satellite image integration; target attention strength evaluation and sorting; feature extraction based on a full connection neural network; feature fusion based on dense connection; design of an encoding-decoding structure, encoding features, final decoding and network output of crop Sanqi black shading shed analysis results; the present application studies a deep learning model for remote sensing image feature boundary extraction based on a full convolutional neural network with dense connection, designs a multi-feature feature extraction and analysis capability of crop Sanqi black shading shed, further enhances the feature transmission and cumulative integration characteristics of the crop Sanqi black shading shed through a dense attention mechanism, and realizes a new method for automatically extracting a multi-source satellite remote sensing crop black shed by automatically learning and mining while considering multi-level features of the crop Sanqi black shading shed.

The present application provides an image correction method based on infrared area array scanning equipment, which corrects the four surrounding dark corner problems caused by non-uniform of the infrared image collected by the equipment, and the method is also applicable to the image spot problem caused by dust on the detector. The method uses the imaging characteristics of the infrared area array search system: the dark corner distribution and the spot distribution between the continuous frames have consistency in space and continuity in time domain. After the normalized processing of the image integration of each circle, an adaptive matrix is obtained, which quickly solves the problems of infrared image dark corner and spot. It lays a good foundation for the following infrared panoramic stitching, target detection and identification.

The application discloses a kind of based on multi-dimensional game AR processing system, it is related to multi-dimensional game technical field, including reality background acquisition module, character movement data module and virtual-real combination module, the output end of reality background acquisition module is connected with image processing module, the output end of image greying unit is connected with image outlining unit, the output end of image integration unit is connected with background loading module, the output end of background loading module is connected with virtual-real combination module.This kind of based on multi-dimensional game AR processing system, by pursuit technology obtains the coping style of virtual character when walking and meets various obstacles, based on this, when using reality scene as game scene, virtual character can select corresponding response action according to the volume of obstacle to avoid the obstacle in display scene when moving, to deepen the link between virtual character and reality scene, to improve the game experience of playing AR game.

To provide a medical three-dimensional image measuring device in which the location and / or posture of a marker can be changed so as not to block the field of view for the marker of an imaging device by a patient fixing device, a surgical instrument, the medical three-dimensional image measuring device itself, and / or an operator, so that tracking of the marker by the external electronic device can be performed smoothly.SOLUTION: A medical three-dimensional image measuring device 100 includes a light source configured to output light, a camera configured to generate three-dimensional image information by receiving reflected light generated by reflecting the light from an object, a housing 162 including the camera disposed therein and forming an opening 162h through which the reflected light enters into the housing, and a marker 180 disposed on the housing 162 to be capable of changing at least one of a relative location or a relative posture to the opening 162h and including a tracking surface configured to be imaged by an external imaging device for tracking a location and a posture.SELECTED DRAWING: Figure 4

The invention provides a framing image acquisition device and a framing image acquisition method based on flight time, which are used for solving the technical problems that a system is difficult to install and collimate when an existing traveling wave gating image intensifier based on a micro-strip is used for acquiring a multi-framing image, and the imaging quality of the traveling wave gating image intensifier is relatively low. Or the image quality is poor when a multi-framing image is obtained by an ultra-fast compression imaging technology. A plurality of scintillators are arranged on a ray passing path at intervals, rays emit light when passing through the scintillators, the light emitting light sequentially passes through a reflection unit, an image integration unit and an image coupling structure, multiple paths of light signals are integrated into an integrated light image, and the integrated light image is imaged to different areas of an image input surface of an image intensifier type camera. A plurality of images of ray space distribution in different time periods can be obtained through single exposure of a single camera.

The method for operating a medical image processing device using augmented reality according to the present disclosure includes the steps of: acquiring a first image including vascular information and bone tissue information obtained by tomography from a first external device; acquiring a second image including facial structures and facial curvature obtained by 3D photography from a second external device; extracting facial feature points from facial specific information including the vascular information, the bone tissue information, the facial structures, and the facial curvature; aligning the first image to the second image based on the facial feature points; generating a composite image by 3D modeling the first image aligned with the second image; projecting the composite image onto a patient's face; and displaying a first layer corresponding to the vascular information and a second layer including the bone tissue information on the projected image.

A method for text-image integration is provided. The method may include receiving a question related to pairable data comprising text data and image data. Embeddings are generated from the text tokens and image encodings. Embeddings are generated from the text tokens and image encodings. The embeddings include text embeddings and image embeddings. A spectral conversion of the text embeddings and the image embeddings is performed to generate spectral data. The spectral data is processed to extract text-image features. The text-image features are processed to generate inferred answers to the question.

The invention relates to the technical field of image recognition, in particular to an exterior wall panel falling monitoring system and method based on visual image recognition, and the system comprises an image integration module, a pixel potential energy calculation module, a tension gradient analysis module, a falling risk recognition module and a monitoring and early warning module. According to the method, the spatial calibration relation between the images is constructed through continuous frame gray extraction and texture direction angle measurement and calculation, so that the surface texture keeps pixel-level matching in a dynamic scene, the response sensitivity of microstructure deformation is improved through combined calculation of the gray change rate and the reflection intensity deviation, and pixel potential energy distribution is established to quantify the local stress state; the continuous tracking of the strain trend is realized, the joint judgment of the potential energy deviation of adjacent frames and the direction consistency deviation can accurately position a potential crack or loose area, misjudgment caused by external illumination, reflection and view angle difference is avoided, and the early recognition and trend evaluation of the multi-period outer wall falling risk are realized. And the stability of the monitoring process and the result credibility are obviously improved.

The invention discloses a BIM-based construction three-dimensional visualization drawing intelligent generation system and method. The system comprises a data access and processing module, a rule base management module, an intelligent view processing engine, an automatic information labeling engine, an image-text integration and typesetting engine and an output and safety management module. The method comprises the following steps: preparing a BIM model and data; configuring a three-dimensional drawing rule through the rule base management module; generating an intelligent view through an intelligent view processing engine; automatically labeling the information through an automatic information labeling engine; integrating a construction scheme through image-text integration and a typesetting engine; and automatically typesetting and outputting drawings through the output and safety management module. The invention relates to the technical field of building informatization, and can solve the problems that in the prior art, three-dimensional drawings are low in drawing efficiency, low in standardization degree, insufficient in information integration level and difficult to update and maintain.

The invention relates to the technical field of image acquisition, in particular to an image acquisition system for wheat phenological period identification, which comprises a data acquisition unit, a self-adaptive adjustment unit, a trigger acquisition unit, an intelligent analysis unit and an image integration and feedback unit. The trigger acquisition unit controls a shooting rhythm and acquires a wheat phenological period image, then the intelligent analysis unit analyzes the wheat phenological period image and diagnoses a phenological state, and finally the image integration and feedback unit summarizes image data, environmental parameters and analysis results. According to the invention, the environment data processing module collects and inputs original illumination, temperature and humidity, outputs normalized data and a comprehensive score, and then inputs the normalized data and the comprehensive score through the parameter decision and control module; and outputting the exposure time, the gain upper limit and the white balance gain to reduce the conditions of image overexposure and noisy point increase which trigger the acquisition unit due to strong light or cloudy and rainy days as much as possible.

The present application relates to the field of environmental monitoring and solid waste treatment, in particular to a landfill microplastic migration path visualization detection method based on fluorescence tracing, comprising the following steps: obtaining polyethylene particle samples and screening, screening target particles, laying particles, setting threshold value checking layout and imaging, applying leachate to collect fluorescence images, extracting signals to construct three-dimensional trajectories, and outputting dynamic image integration graph, in the present application, through polyethylene particle screening and fluorescence coating treatment, the particle signal stability and image recognition accuracy are improved, the particles are uniformly laid in the model with layered structure and observation window, and the layout is checked in combination with the coverage area and path connectivity, the trajectory resolvability is enhanced, the fluorescence images are collected at regular time intervals, the light signal area is extracted, and image stacking and three-dimensional positioning are performed, the continuous reconstruction and structural layer position comparison of the particle migration path are realized, and the spatiotemporal recognition ability of the migration behavior and the clarity of the image expression are improved.

The present disclosure provides a video image integrating device including an acquiring section acquiring video images in which work of a worker is captured; a detecting section; a judging section; and a generating section.

The invention relates to an intelligent inspection analysis system for distribution network equipment, which is characterized in that an electronic map can be generated by utilizing a GIS (Geographic Information System) map module, and marking division of an inspection area and compiling of an inspection plan can be realized by utilizing an inspection area division module and an inspection plan compiling module; the inspection execution module can be used for guiding and controlling the inspection unmanned aerial vehicle, so that the inspection unmanned aerial vehicle performs inspection operation according to the inspection plan; the image integration processing module and the three-dimensional imaging module are used for carrying out preprocessing and integration operation on image data shot by the image shooting unit and then forming a three-dimensional visual image through virtual reality and three-dimensional map technologies, and the fault analysis module is used for recognizing and marking an abnormal area in a polling area. The fault processing module is used for carrying out hidden danger analysis on an abnormal area and generating a hidden danger processing report, and the control and operation module is used for generating and distributing an overhaul work sheet; the method has the advantages of safety, high efficiency, accuracy and convenience.

A satellite-ground combined rapid tuning method for an optical remote sensing satellite comprises the following steps: (1) selecting a sky area through imaging simulation according to the star observation capability of a satellite camera and the number of fixed stars; (2) when a satellite initially enters an orbit, completing initial calibration of a star sensor-camera included angle; (3) selecting a sky area according to the current direction of the camera for fixed star imaging, and selecting multiple groups of imaging integration time; (4) keeping the direction of the camera immobile, adjusting a secondary mirror and a focal plane adjusting mechanism, and performing fixed star imaging again; repeating the step for a plurality of times; (5) performing imaging data transmission; (6) interpreting imaging data, and determining the adjustment amount of a secondary mirror and a focal plane; (7) multiple rounds of fine focusing are carried out, and the final adjustment amount of the focal plane is determined; (8) performing an imaging quality index test, if the requirements are met, curing the positions of the secondary mirror and the focal plane, otherwise, repeating the steps (2)-(7); and (9) performing imaging quality interpretation at regular intervals, and if degradation occurs, selecting an opportunity to repeat the steps (2)-(8) to perform adjustment and optimization again.

A portable three-dimensional image measuring apparatus according to various embodiments of the present disclosure includes a light source that outputs pattern light, a camera that receives reflected light generated by the pattern light reflected from an object body to generate a light field image of the object body, and a light path control element that reflects the pattern light so that the pattern light output from the light source is irradiated to the object body and transmits the reflected light so that the reflected light reflected from the object body reaches the camera, a light path of the pattern light irradiated to the object body from the light source and a light path of the reflected light reaching the camera from the object body are coaxial and overlap in an interval between the light path control element and the object body.

The application discloses a kind of sparse ISAR translation compensation and imaging integration method based on super network, mainly solve the precision of prior art under low signal-to-noise ratio condition translation compensation and the quality of ISAR imaging is poor, echo signal-to-noise ratio is not robust, spatial complexity is high and the problem of low efficiency.Its implementation scheme includes: the establishment of sparse observation model under echo defect condition;According to sparse observation model, construct target function based on L1 norm optimization;Iterative solution target function, construct translation compensation and ISAR imaging integration network based on super network;Scattering point is used to generate training set and train integration network;Real-time data is input into trained integration network, and the final ISAR image is obtained by network forward propagation.The application significantly improves the precision of translation compensation and the quality of ISAR imaging and the robustness of network to echo signal-to-noise ratio, reduces time and spatial complexity, and can be used for ship-borne, airborne ISAR system to extract target important information.

This invention discloses a method for evaluating the performance of a guidance camera used in asteroid defense, belonging to the field of deep space exploration technology. The method includes calculating the apparent magnitude, and based on the apparent magnitude and Posen's formula, calculating the irradiance of the target asteroid; calculating the upper limit of the integration time for point target detection and recognition by the guidance camera based on satellite platform stability, guidance camera focal length, detector pixel size, and point target detection spot size; calculating the effective number of electrons within the pixel array at a specified integration time, using the point target detection pixel array as the calculation unit; calculating the noise equivalent number of electrons, using the point target detection pixel array as the calculation unit; and calculating the detection limit apparent magnitude and the detectable distance of the target asteroid based on the target detection signal-to-noise ratio threshold, or calculating the surface image integration time based on the surface image signal-to-noise ratio threshold. This invention can provide certain reference for the selection of target asteroids and the demonstration of overall guidance camera performance in asteroid defense missions.

1. Name of the product in this design: Intelligent Gateway Device (Weighing, Energy Consumption, and Image Integration). 2. Application of this design: This design patent is mainly used for a smart gateway device that integrates weighing, energy consumption, and image control in the field of tobacco curing electric heat pump curing barns. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to a device and method for detecting a cable path in a fireproof plug, and the method comprises the steps: enabling a transmitting unit to sequentially activate different coils to output an adjustable frequency, and forming a dynamic scanning electromagnetic induction matrix; the receiving unit senses the magnetic field intensity generated by a secondary current formed by the target cable under the excitation of the harmonic magnetic field formed by the dynamic scanning electromagnetic induction matrix, and outputs an original magnetic field signal; the data processing unit performs deep processing and analysis on the original magnetic field signal to obtain spatial position information and material attribute information of the target cable; and the image integration unit performs image fusion based on the spatial position information and the material attribute information to obtain a three-dimensional visual model and a trepanning guidance strategy. According to the invention, through multi-frequency electromagnetic scanning, adaptive signal processing and three-dimensional visual modeling, accurate positioning and safe trepanning evaluation of a cable path in a plugging material are realized, the detection efficiency is obviously improved, the risk is thoroughly eliminated, and the operation and maintenance efficiency of a nuclear power station is improved.