Method and system for filtering medical image

Abstract

The invention discloses a method and a system for filtering a medical image. The method comprises the following steps of: estimating the window size of a filter according to an image to be processed; calculating the frequency and amplitude of polar coordinates in a frequency domain and constructing a directional window filter; and performing filtering operation on the image to be processed by using the directional window filter and outputting the filtered image. The scheme provided by the invention can enhance the contrast of each tissue in the image in different degrees, particularly enhances a fine structure so as to make an organizational structure clearer by removing noise in the image which influences diagnosis to the greatest extent according to the diagnosis requirement of the medical image. Compared with the common filtering method, the method has the advantages of high noise suppression capability and prominent details; the filtered medical image can clearly reflect the information of the organizational structure in the image and provide powerful assistance and assurance for the diagnosis of clinical imageology to various diseases; and products formed by a correlation method can generate great social and economic benefits and has wide market prospect.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a filtering method and system for medical images. Background technique [0002] During the generation process of existing medical images, various degrees of noise pollution are usually produced due to the influence of various factors such as imaging equipment, imaging environment, and imaging methods, which reduces the quality of the image itself and brings great difficulties to the subsequent processing of the image. Difficult and affects the doctor's diagnosis of the condition. Due to the characteristics of low resolution and high noise in medical images, it has become an important task to denoise medical images through effective filtering methods. [0003] Denoising processing is to pass the noise-contaminated image through a filter to filter out the noise part and retain the original signal of the image. Commonly used image denoising methods include Gaussia...

AI Technical Summary

Problems solved by technology

[0017] Embodiments of the present invention provide a medical image filtering method and system, which are used to improve the problems of excessive noise, blurred edges, and loss of details in the prior art after medical image processing, and solve the problems of high noise and poor contrast in medical images

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