10 results about "Thermal image processing" patented technology

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.

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.

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.

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 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.