26 results about "Thermal image processing" patented technology

The invention provides an unmanned aerial vehicle fire monitor fire source positioning system based on infrared thermal imaging, and the system comprises a fire scene situation collection module which obtains thermal image data and high-precision point cloud data; the fire diffusion model building module is used for generating a radiation intensity distribution diagram; the thermal image processing module is used for generating a structured fire source risk feature image; the LSTM time sequence model processing module is used for generating a smooth diffusion thermodynamic diagram to predict the spreading direction and speed; the combat map generation module is used for realizing data visualization; and the unmanned aerial vehicle flight path planning module realizes comprehensive coverage of a fire monitor striking path. Aiming at the problem that the prior art depends on static fire source data and is difficult to capture time-space dynamic evolution of a fire behavior, the method comprises the following steps: constructing a multi-dimensional fire behavior diffusion model, and fusing fire scene air flow vector projection analysis, thermal radiation background concentration dynamic superposition and LSTM time sequence modeling modes; accurate prediction of the diffusion path of the fire from the low-risk area to the high-risk area is realized, and instant support is provided for fire extinguishing action.

The invention discloses an infrared thermogram analysis method, system and method, and relates to the technical field of image processing, and the system comprises a data import and display module, an image preprocessing module, a color display adjustment module, an abnormal region recognition module, an abnormal region analysis module and a data storage and management module. The data import and display module analyzes and processes an infrared thermal image file, obtains an original grey-scale map through an image format conversion unit and a color space conversion unit, carries out pseudo-color coloring processing on the infrared thermal image grey-scale map, identifies a temperature gradient abnormal area and carries out judgment in combination with a visible light photo. According to the scheme, a convenient temperature interval subdivision gradient screening adjustment function, a visible light in-situ comparison function and an infrared image post-processing identification function are provided; a whole set of auxiliary work is provided for manual processing of infrared thermogram systematicness, and the precision and efficiency of infrared thermogram processing are improved.

This thermal image processing device (100) comprises: a subject detection unit (103) that detects an area of a subject from a thermal image in which each of a plurality of pixels expresses a pixel value corresponding to a received intensity of infrared rays; an area measurement unit (104) that identifies the size of the area of the subject in the thermal image; a prior data storage unit (105) that stores data indicating a relationship in which the smaller the area on an imaging surface where infrared rays are received from an object of detection, the lower the pixel value corresponding to the received intensity of the infrared rays from the object of detection; a correction value calculation unit (106) that references the data to identify correction information for compensating for the amount of decrease, which is the amount by which the pixel value corresponding to the received intensity decreases in relation to the size of the area of the subject; and a thermal image correction unit (107) that uses the correction information to correct a pixel value in the area of the subject so as to compensate for the amount of decrease in the pixel value due to the size of the area of the subject.

The invention provides a fault identification system and a fault identification method. The system comprises a multi-port bidirectional coordination controller, an infrared thermal image processing module and a current detection module. The multi-port bidirectional coordination controller is used for acquiring electrical parameters of each node in a load side and a power supply side in real time, and the infrared thermal image processing module is used for carrying out device-level fault positioning based on the electrical parameters of each node to obtain a first fault identification result; and the current detection module is used for performing fault diagnosis based on the electrical parameters of each node and the first fault identification result to obtain a second fault identification result. According to the method, the fault can be quickly identified and positioned without adding repeated construction, the fault diagnosis speed and precision are improved, the system operation cost is reduced, and the comprehensive operation performance of a novel power system is improved.

In an aspect, there is provided a method for thermal image processing comprising: obtaining a thermal image acquired by an image sensor of a thermal camera, wherein the thermal image depicts a scene comprising a set of objects; identifying a set of apparent object regions in the thermal image, wherein each apparent object region includes a depiction of a respective one of the set of objects which is blurred due to diffraction in the thermal camera, and wherein each apparent object region is identified as a contiguous region of pixels having pixel intensities differing from a representative background intensity of a thermal background of the scene by more than a threshold intensity, and being of a size exceeding a threshold size such that the apparent object region includes an actual object region of at least one actual object pixel and a blurred edge region of blurred edge pixels surrounding the actual object region; and applying to each apparent object region a contrast enhancement step comprising: partitioning the blurred edge region into a background edge region and an object edge region intermediate the actual object region and the background edge region; and setting pixels of the object edge region to a representative object intensity determined from one or more actual object pixels of the actual object region, and pixels of the background edge region to the representative background intensity.

The method for thermal image processing includes: acquiring a thermal image depicting a scene including a set of objects; identifying a set of distinct object regions in the thermal image, each distinct object region comprising a blurred depiction of a respective one of the set of objects, and each distinct object region being identified as a contiguous region of pixels, a distinct object region having a pixel intensity that differs from a representative background intensity of the thermal background of the scene by more than a threshold intensity and a size that exceeds a threshold size such that the distinct object region includes an actual object region of actual object pixels and a blurred edge region of blurred edge pixels surrounding the actual object region; segmenting the fuzzy edge region into a background edge region and an object edge region between the actual object region and the background edge region; and setting the pixels of the object edge region to a representative object intensity determined according to the actual object pixels of the actual object region and setting the pixels of the background edge region to a representative background intensity.

A method for thermal image processing, comprises: acquiring a thermal image depicting a scene; obtaining a frequency distribution based on pixel intensities of the thermal image; processing the frequency distribution to determine whether the frequency distribution comprises a peak, caused by a hot object in the scene, which is separated from a thermal background of the scene by more than an intensity threshold; and in response to determining that the frequency distribution comprises the peak, processing the thermal image to suppress a ghost image of the hot object in the thermal image, wherein the ghost image is caused by internal reflections of radiation from the hot object in the thermal camera, and wherein the processing of the thermal image comprises: estimating a location of ghost image pixels forming the ghost image; and suppressing the ghost image in the thermal image by adjusting intensities of the ghost image pixels.

The invention relates to the technical field of unmanned aerial vehicle photoelectric detection, and provides an AI-based unmanned aerial vehicle photoelectric tracking and pointing system and a target tracking method thereof.The system comprises an image acquisition and preprocessing terminal, a multi-source structure analysis terminal, a thermal image processing terminal, an inertial data analysis terminal, a scoring terminal and an intelligent regulation and control terminal; the image acquisition and preprocessing terminal is used for acquiring a visible light image and an infrared thermal image and outputting image data; the multi-source structure analysis terminal is used for receiving visible light image data and generating a structure significance scoring result; the thermal image processing terminal is used for receiving the infrared image data and extracting thermal characteristic parameters; the inertial data analysis terminal is used for collecting triaxial acceleration and angular velocity data, and processing and generating a dynamic stability scoring result; the scoring terminal is used for fusing the scoring results and outputting a joint scoring result; and the intelligent regulation and control terminal is used for performing judgment according to the joint scoring result and selectively outputting pitching and yaw angle control instructions according to the judgment result.

A tracheal intubation assistance device and a method for real-time confirming a position correctness of an endotracheal tube are provided. The method for real-time confirming the position correctness of the endotracheal tube includes providing the tracheal intubation assistance device, performing an image capture step, performing a region selection step, and performing an image interpretation step. The tracheal intubation assistance device includes an infrared temperature sensor and a processor. The infrared temperature sensor is configured to capture a thermal image of a workspace including the endotracheal tube and a subject, and the processor is configured to compare a first temperature range of a first sampling region with a second temperature range of a second sampling region to confirm the position correctness of the endotracheal tube.

To provide a thermal image processing device capable of appropriately calibrating a far-infrared camera.SOLUTION: A thermal image processing device 10 includes: an imaging unit 100 having an imaging element 102 that captures an infrared image through a lens 101; a thermal uniform body 103 that emits infrared light of constant intensity and wavelength; a reflecting element 104 that is provided on an optical path from the lens 101 to the imaging element 102, and is switchable between a first angle at which the infrared light incident from the lens 101 is reflected and made incident on the imaging element 102 and a second angle at which the infrared light incident from the thermal uniform body 103 is reflected and made incident on the imaging element 102, for each section corresponding to the imaging element 102; and a calibration control unit 310 that switches the reflecting element 104 from the first angle to the second angle for each section while capturing an infrared image, and performs calibration based on the infrared light emitted from the thermal uniform body 103 for each switched section.SELECTED DRAWING: Figure 1

This application relates to the technical field of general image data processing or generation, and particularly relates to a storage medium and an infrared thermal image processing system. Instructions or programs are stored in the storage medium, and the instructions or programs are loaded and executed by a processor to implement the following steps: Obtain A, T B and T C ; If C is located in S B or C is not located in S B but d BC <d0 and T BC <T0, then obtain T AB =T 1 A -T 1 B , then output a second prompt message indicating T AB ; If C is not located in S B and d BC ≥d0 or T BC ≥T0, then output a first prompt message indicating to retake or re-obtain L. The present invention can accurately obtain the temperature of the symmetric position of a certain position of the human body in the infrared thermal image.

The present application discloses a thermal image endoscope system, an endoscope catheter thereof, an abnormal area judgment method and display device thereof, and a thermal image processing computer thereof. The thermal image endoscope system comprises a thermal image endoscope catheter and a control device. The thermal image endoscope catheter comprises a tube body, a thermal image capturing assembly, a treatment element and a linkage element. One end of the thermal image capturing assembly and the treatment element is located at the head of the tube body. The thermal image capturing assembly is used to capture thermal images from the camera area and convert them into image signals. The linkage element is located in the tube body and connected to the head. The control device comprises a receiving element, a driving element, a light guide assembly and a controller. The driving element is connected to the linkage element. The light guide assembly comprises a light guide and a gate. The controller actuates the driving element to make the linkage element move the head according to the treatment command received by the receiving element, and actuates the gate to selectively couple or not couple the light guide to the treatment element. The controller receives and outputs the image signals.

A thermal image processing method according to the present invention comprises the steps of: receiving a captured image from a thermal image camera; dividing each frame included in the captured image into a plurality of blocks; identifying each block as a target block or an excluded block on the basis of the pixel value difference between corresponding blocks of two neighboring frames and / or the average pixel value of each block of the frame; determining whether to mark each block position on the basis of the cumulative count of the target block within a plurality of frames; calculating a non-uniformity correction value for an unmarked block position; and outputting a corrected image by correcting the captured image on the basis of the calculated non-uniformity correction value.

Disclose a multiscale retinex and FASTICA combined infrared thermal image processing method, including the following steps: laser infrared thermal imaging; FASTICA image processing; multiscale Retinex image noise reduction; signal-to-noise ratio calculation.The FASTICA infrared thermal image processing method based on Retinex can enhance the infrared thermal image to display the key information of the image, and the effect of laser infrared nondestructive testing has obvious visual improvement, and other types of image optimization processing can also be carried out by this method.

The present disclosure relates to a method for measuring sludge using infrared technology in petroleum storage tanks, comprising: mounting a laser distance meter and an infrared camera on a tripod; positioning a metallic support plate on the tripod; positioning markers on the tank shell to serve as measurement references; configuring the infrared camera by adjusting parameters such as reflected apparent temperature, emissivity, acquisition distance, and dynamic temperature range; acquiring thermal images of the tank shell along a circular path around the tank; processing the acquired images; generating a three-dimensional representation of the sludge distribution inside the tank; and calculating the sludge volume.

The invention relates to the technical field of thermal image processing, in particular to a system and method for monitoring the temperature of a converter body based on a thermal infrared imager. According to the system for monitoring the temperature of the converter body through the thermal infrared imager, after a collected thermogram is subjected to screening and field angle correction processing, whether the local temperature in the processed thermogram is too high or not, whether the local temperature is uniform or not and the average temperature change trend of the converter wall are analyzed, and the temperature of the converter body is monitored through the thermal infrared imager. Due to the fact that thermogram collection does not involve a large amount of signal modulation and the collection distance is farther than the thermocouple interval, the anti-interference capacity is high, the monitoring precision is higher, and the requirement for precise monitoring of the temperature of the converter wall in the industry is met.

The present invention provides a fire source positioning system for a drone fire cannon based on infrared thermal imaging. The system includes a fire scene situation acquisition module that acquires thermal image data and high-precision point cloud data; a fire spread model construction module that generates a radiation intensity distribution map; a thermal image processing module that generates a structured fire source risk characteristic image; an LSTM time series model processing module that generates a smooth diffusion heat map to predict the spread direction and speed; a battle map generation module that achieves data visualization; and a drone flight path planning module that achieves comprehensive coverage of the fire cannon's strike path. To address the problem that existing technologies rely on static fire source data and have difficulty capturing the spatiotemporal dynamic evolution of fires, the present invention constructs a multi-dimensional fire spread model that integrates fire scene air flow vector projection analysis, dynamic superposition of thermal radiation background concentration, and LSTM time series modeling to accurately predict the fire spread path from low-risk areas to high-risk areas, providing immediate support for firefighting operations.

An embodiment of the present invention discloses a thermal image processing method comprising: a step of determining a blending ratio of different first smoothing algorithms and second smoothing algorithms based on the analysis result of a original histogram for an original thermal image; a step of generating a first corrected thermal image in which the first smoothing algorithm and the second smoothing algorithm are applied to the original thermal image according to the blending ratio; a step of adjusting the blending ratio by comparing the corrected histogram for the first corrected thermal image with the original histogram; and a step of generating a second corrected thermal image in which the first smoothing algorithm and the second smoothing algorithm are applied to the original thermal image according to the adjusted blending ratio.

There is provided a forehead temperature measurement system including an image sensor, a thermal sensor and a processor. The image sensor is used to output an image frame. The thermal sensor is used to output a thermal image. The processor is used to determine a forehead region in the image frame, map the forehead region to the thermal image and identify a forehead temperature according to a forehead mapped region in the thermal image. The processor further calibrates or compensates the forehead temperature according to an area of the forehead region.

There is provided a forehead temperature measurement system including an image sensor, a thermal sensor and a processor. The image sensor is used to output an image frame. The thermal sensor is used to output a thermal image. The processor is used to determine a forehead region in the image frame, map the forehead region to the thermal image and identify a forehead temperature according to a forehead mapped region in the thermal image. The processor further calibrates or compensates the forehead temperature according to an area of the forehead region.

There is provided a temperature measurement system including an image sensor, a thermal sensor and a processor. The image sensor captures an image frame. The thermal sensor captures a thermal image. The processor calibrates measured temperatures of the thermal sensor and calibrates offset pixels between the image frame and the thermal image corresponding to different operating distances.

A method for thermal image processing comprises obtaining a thermal image depicting a scene comprising objects; identifying a set of apparent object regions, each apparent object region includes a depiction of a respective object which is blurred due to diffraction, and each apparent object region being identified as a contiguous region of pixels having intensities differing from a representative background intensity by more than a threshold intensity, and exceeding a threshold size such that the apparent object region includes an actual object region and a blurred edge region and applying to each object region a contrast enhancement comprising: partitioning the blurred edge region into a background edge region and an object edge region intermediate the actual object region and the background edge region; and setting pixels of the object edge region to a representative object intensity determined from actual object pixels, and pixels of the background edge region.

The application relates to the technical field of unmanned aerial vehicle photoelectric detection, and provides an unmanned aerial vehicle photoelectric tracking system based on AI and a target tracking method thereof, the system comprising an image acquisition and preprocessing terminal, a multi-source structure analysis terminal, a thermal image processing terminal, an inertial data analysis terminal, a scoring terminal and an intelligent regulation and control terminal; the image acquisition and preprocessing terminal is used for acquiring visible light images and infrared thermal images and outputting image data; the multi-source structure analysis terminal is used for receiving visible light image data and generating a structure saliency scoring result; the thermal image processing terminal is used for receiving infrared image data and extracting thermal characteristic parameters; the inertial data analysis terminal is used for acquiring three-axis acceleration and angular velocity data, processing and generating a dynamic stability scoring result; the scoring terminal is used for fusing the scoring results and outputting a joint scoring result; and the intelligent regulation and control terminal is used for judging according to the joint scoring result and selecting a pitch and yaw angle control instruction according to a judgment result.

The invention discloses a system and method for analyzing the real-time temperature of a copper converter body based on thermogram information, and the system comprises a thermogram collection module which is used for shooting a thermogram of the surface of a converter through an infrared thermal imager, and obtaining the thermogram through gray conversion; the thermal image processing module is used for carrying out noise reduction and enhancement processing on the thermal image to obtain a target image; and the converter temperature analysis module is used for detecting temperature parameters of the converter body in real time according to the target image to obtain a monitoring result. The method has the advantages of safe operation, fast response, high temperature measurement accuracy and the like for online detection and evaluation of the temperature of the copper matte converting furnace, provides a feasible technical principle and technical solution, and has important significance for further research on safe operation of the converter.

The invention discloses a biomass gasification intelligent heat supply system based on reaction layer thermal imaging, which comprises a biomass gasification furnace, a steam boiler connected with a biomass gas outlet of the biomass gasification furnace, and a feeding device used for conveying dried biomass raw materials into the top of the biomass gasification furnace, the system is characterized by further comprising an infrared thermal imager, a microwave drying device, a thermal image processing module, a reaction layer analysis module and an intelligent control module. According to the invention, the size and position information of each reaction layer of the biomass gasification furnace can be obtained in real time, so that the working parameters or states of the biomass gasification heat supply system can be intelligently regulated and controlled.

A fault detection device includes a thermal camera that takes thermal images of an electrical system. The fault detection device includes a processor that receives thermal images of the electrical system from the thermal camera and processes a temperature of an electrical component of the electrical system from the thermal images. The processor also processes a predicted temperature of the electrical component from the current passing through the component and the ambient temperature. The health of the electrical component and faults in the electrical system can be determined from the temperature difference between the measured temperature of the electrical component and the predicted temperature of the electrical component.