ANX IP HOLDING PTE. LTD.

The present invention provides an image processing method, an electronic device, and a readable storage medium. The method comprises: obtaining an original image, determining whether the current original image contains a cavity; if the current original image contains a cavity, increasing the frame rate based on the original frame rate; if the current original image does not contain a cavity, maintaining the original frame rate for image capturing. The present invention can automatically adjust the frame rate according to the actual images captured by a capsule endoscope, improving the capture of intestinal images, reducing the probability of missing shots, and achieving the goal of saving power, while enhancing the efficiency of capsule endoscope usage.

The present invention provides a data loading method. The method comprises: reading data from an initial address in a memory; obtaining a frame header identifier, loading a valid data segment comprising the frame header identifier; verifying the valid data segment; when it is determined that the verification is successful, sending at least part of information within the valid data segment to a cache unit; updating a register according to at least part of the information by the cache unit. Using a specific frame header identifier, loading data in the memory starts only from the specific frame header identifier, which skips the data before the frame header identifier and avoids loading invalid data in the cache unit, thus saving time, preventing lengthy program, and being more scientific and convenient.

An image processing method and a data set collection method is disclosed. The image processing method includes: making a high-resolution high-definition image interact with a calibrated blur kernel to obtain a blurred image; injecting calibrated noise to form a first noise image; degrading, by using a downsampling method, the first noise image into a low-resolution image; performing lossy compression on the low-resolution image to obtain a compressed image; adding into the compressed image random noise points that simulate a transmission process, to form a second noise image; and performing lossy compression on the second noise image to obtain a low-definition image, where the high-definition image is an image that is formed by means of photographing an organ in a body using a capsule endoscope, and the calibrated blur kernel and calibrated noise are results that are obtained by means of fitting a photographing process of the high-definition image.

An image processing method, an electronic device, and a readable storage medium are provided. The method includes: obtaining an original image; denoising the original image using an image filtering algorithm to form a preprocessed image S; performing contrast enhancement in the preprocessed image S to form a contrast-enhanced image J; adjusting saturation of the contrast-enhanced image J to form an enhanced display image M; sharpening the enhanced display image M to form a sharpened image N; and performing dynamic range enhancement on the sharpened image N using a dynamic range image enhancement algorithm to form an output image. The image processing method, electronic device, and readable storage medium enable multi-level processing on the original image and improve the display accuracy of the output image.

A referenceless image evaluation method for a capsule endoscope, an electronic device, and a medium. The method comprises: acquiring image quality evaluation scores and image content evaluation scores corresponding to respective original images; and determining, according to weights of the image content evaluation scores and weights of the image quality evaluation scores, a comprehensive score for each image currently being evaluated. The referenceless image evaluation method for a capsule endoscope employs various evaluation models to evaluate the image quality and content of a number of original images taken in the same detection region. The results of these evaluations are then combined to produce comprehensive scores for the numerous original images of the same region. Through the comprehensive scores, high-quality images can be quickly screened out, and thus the screening of the original images can be accelerated and the identification accuracy be improved.

The present invention provides an image processing method, an electronic device, and a readable storage medium. The method comprises: obtaining an original image, determining whether the current original image contains a cavity; if the current original image contains a cavity, increasing the frame rate based on the original frame rate; if the current original image does not contain a cavity, maintaining the original frame rate for image capturing. The present invention can automatically adjust the frame rate according to the actual images captured by a capsule endoscope, improving the capture of intestinal images, reducing the probability of missing shots, and achieving the goal of saving power, while enhancing the efficiency of capsule endoscope usage.

The present invention provides a data loading method. The method comprises: reading data from an initial address in a memory; obtaining a frame header identifier, loading a valid data segment comprising the frame header identifier; verifying the valid data segment; when it is determined that the verification is successful, sending at least part of information within the valid data segment to a cache unit; updating a register according to at least part of the information by the cache unit. Using a specific frame header identifier, loading data in the memory starts only from the specific frame header identifier, which skips the data before the frame header identifier and avoids loading invalid data in the cache unit, thus saving time, preventing lengthy program, and being more scientific and convenient.