Medical image processing method and device based on pathfinder intelligent search algorithm

Abstract

The invention provides a medical image processing method and device based on a pathfinder intelligent search algorithm, and the method comprises the steps: obtaining an input to-be-processed medical image I (i, j), segmenting the image into n windows, and removing the noise of each of the n windows through median filtering, and obtaining a noise-free image IF (i, j); based on a gray level co-occurrence matrix (GLCM) feature extraction method, extracting texture parameters of the image from the noiseless image IF (i, j), wherein the texture parameters comprise the contrast ratio, the correlation degree, the angle second moment, the inverse differential moment (IDM) and the entropy between adjacent pixels, and GLCM features are constructed; extracting important texture features from the constructed GLCM features by using a pathfinder intelligent search algorithm; and inputting the extracted important texture features into a trained kernel extreme learning machine KELM to obtain classification and recognition results of the to-be-processed medical images. According to the scheme of the invention, the accuracy of ultrasonic image recognition can be improved, and the efficiency of ultrasonic image classification and image recognition is improved.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a medical image processing method and device based on the pathfinder intelligent search algorithm. Background technique [0002] In recent years, medical imaging technology has developed rapidly. Ultrasound imaging is an important branch of medical imaging. It plays an important role in quantitative analysis, real-time diagnosis and surgical planning, and can provide a basis for analysis and diagnosis of medical workers. [0003] However, the incidence of speckle noise in ultrasound images is higher than that in CT and MRI, which will affect the accuracy of ultrasound image recognition. And in order to identify the region of interest in the ultrasound image, it is necessary to extract a large number of features from the ultrasound image. Although extracting a large number of features can improve the accuracy of ultrasound image recognition, it will still extract irrelevan...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above technical problems, the present invention proposes a medical image processing method and device based on the Pathfinder intelligent search algorithm, which is used to solve the problem of high noise in ultrasonic images in the prior art, and extract a large number of irrelevant and redundant images when identifying images. It is a technical problem that affects the efficiency of ultrasonic image classification and image recognition

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