Medical image processing method, processing apparatus, and computer-readable storage medium

A medical image processing apparatus, comprising a memory, a processor, and a computer program stored in the memory and executable by the processor;

• wherein the processor is capable of executing the computer program to implement:
• obtaining a to-be-processed image;
• performing a feature extraction on the to-be-processed image to obtain a corresponding feature image;
• and
• re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image;
• wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image,
• wherein the re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image comprise:
• obtaining pixels in a neighborhood with a radius r around the corresponding pixel in the feature image to form a first pixel set, and obtaining pixels similar to the corresponding pixel in the feature image and located outside the neighborhood to form a second pixel set;
• wherein r is a preset neighborhood radius parameter, being a positive integer;
• obtaining a first contribution rate of each first pixel in the first pixel set to the corresponding pixel in the features image, and obtaining a second contribution rate of each second pixel in the second pixel set to the corresponding pixel in the features image;
• wherein a sum of all the first contribution rates and all the second contribution rates is 1;
• and
• for each first pixel, multiplying a pixel value and the corresponding first contribution rate of the first pixel to obtain a first product;
• for each second pixel, multiplying a pixel value and the corresponding second contribution rate of the second pixel to obtain a second product;
• and adding all the first products with all the second products to obtain a sum, and taking the sum as a pixel value of the corresponding pixel in the features image.

A non-transitory computer-readable storage medium, storing a computer program;

• wherein the computer program is executable by a processor to implement:
• obtaining a to-be-processed image;
• performing a feature extraction on the to-be-processed image to obtain a corresponding feature image;
• and
• re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image;
• wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image,
• wherein the re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image comprise:
• obtaining pixels in a neighborhood with a radius r around the corresponding pixel in the feature image to form a first pixel set, and obtaining pixels similar to the corresponding pixel in the feature image and located outside the neighborhood to form a second pixel set;
• wherein r is a preset neighborhood radius parameter, being a positive integer;
• obtaining a first contribution rate of each first pixel in the first pixel set to the corresponding pixel in the features image, and obtaining a second contribution rate of each second pixel in the second pixel set to the corresponding pixel in the features image;
• wherein a sum of all the first contribution rates and all the second contribution rates is 1;
• and
• for each first pixel, multiplying a pixel value and the corresponding first contribution rate of the first pixel to obtain a first product;
• for each second pixel, multiplying a pixel value and the corresponding second contribution rate of the second pixel to obtain a second product;
• and adding all the first products with all the second products to obtain a sum, and taking the sum as a pixel value of the corresponding pixel in the features image.