5results about How to "Improve image processing efficiency" patented technology

The invention discloses an endoscope image display optimization method, system and device and a storage medium. The method comprises the following steps: splitting an original endoscope image acquired in real time into a first image signal and a second image signal which are synchronously transmitted in real time; receiving the first image signal in real time by using the FPGA controller, and processing the first image signal in real time to obtain a first processed image; synchronously utilizing the ARM processor to receive a second image signal in real time, and performing real-time processing on the second image signal to obtain a second processed image; and receiving the second processed image in real time by using the FPGA controller, fusing the first processed image and the second processed image in real time, generating a fused image, and displaying the fused image. According to the invention, the accuracy and reliability of image fusion are ensured, the delay time of image display is effectively controlled, the image display effect is optimized, and a clearer, more accurate and more real-time operation view can be provided for doctors.

The application provides a model training method, an image segmentation method, an electronic device and a storage medium. The method comprises: acquiring a sample medical image, inputting the sample medical image into a first segmentation network to perform first stage segmentation, and obtaining a first segmentation result of the sample medical image for a region of interest; inputting the first segmentation result and the sample medical image into a second segmentation network respectively to perform second stage segmentation, and obtaining a second segmentation result of at least one sub-region of the region of interest of the sample medical image; updating parameters of the first segmentation network and updating parameters of the second segmentation network; and constructing an image segmentation model based on the updated first segmentation network and second segmentation network. The application automatically provides a partition positioning result of a medical image, thereby reducing the workload of doctors.

The application belongs to the technical field of image processing, and discloses an image processing method, device, electronic equipment and storage medium. The method comprises the following steps: performing data padding on target feature map data according to a current convolution kernel column index, the target feature map data being selected from a target image and being stored in a data register; performing data offset processing on the padded target feature map data according to the convolution kernel column index, to obtain offset target feature map data; and performing operation based on convolution kernel data and the offset target feature map data, to obtain a feature map processing result. In this way, the operation is performed in the data offset manner, the number of data reading and writing is reduced, and the image processing efficiency is improved.

The invention discloses a visual navigation device for artificial intelligence assisted percutaneous endoscopic lumbar intervertebral disc resection, which belongs to the technical field of medical surgical navigation and comprises an image acquisition and processing module, an intelligent navigation algorithm module and a visual interaction interface module which are in signal connection in sequence, the image acquisition and processing module is used for acquiring medical image original data of a lumbar vertebra part of a patient, outputting segmented anatomical structure data, cooperatively acquiring image data through double devices, realizing accurate image segmentation and three-dimensional reconstruction in combination with a convolutional neural network algorithm, and ensuring the presentation accuracy of an anatomical structure; according to the system, the optimal operation path planning and real-time instrument tracking functions are achieved, the operation path deviation is effectively avoided, the injury risk is reduced, partition display and color identification technologies are adopted in a visual interaction interface, the system is visual and clear, multimode human-computer interaction is supported, the operation process is simplified, the learning and operation time of doctors is shortened, and the operation efficiency is improved.

The application provides an image processing method and system, electronic equipment and storage medium, and relates to the technical field of automobile electronics. A lightweight model and a low-latency cache for executing an AI algorithm are configured in an ISP system, a communication channel between the low-latency cache and each module in the ISP system is established through a high-speed read-write interface, in the process of image processing, each module reads corresponding data from the cache, and cooperates with the lightweight model to complete corresponding AI operation processing to complete image processing, and finally obtained image data is output. That is, an image processing system based on AI-ISP and low-latency cache is constructed, and in image processing, the AI algorithm executed by the lightweight model is embedded in any position in the image processing process to execute one or more corresponding AI algorithms. Not only can the purpose of adapting to complex scenes be achieved, but also the purposes of improving image processing efficiency and accuracy can be achieved.