Guided trilateral filtering ultrasonic image speckle noise removal method

A technology of ultrasonic image and speckle noise, applied in the field of image processing, can solve the problems of high complexity of denoising algorithm and unsatisfactory denoising effect, achieve or enhance contrast, reduce algorithm complexity and reduce speckle noise Effect

Active Publication Date: 2019-05-17
CHINA THREE GORGES UNIV
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods, either the denoising effect is not ideal, or the complexity of the denoising algorithm is relatively high. Therefore, seeking a simple and effective algorithm with an ideal denoising effect is a necessary condition for real-time processing of ultrasound images, and it is also a denoising algorithm. Prerequisites for Porting to Real Medical Devices

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Guided trilateral filtering ultrasonic image speckle noise removal method
  • Guided trilateral filtering ultrasonic image speckle noise removal method
  • Guided trilateral filtering ultrasonic image speckle noise removal method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] A method for removing speckle noise in ultrasonic images of guided trilateral filtering (Guided Trilateral Filtering, GTF), comprising the following steps:

[0052] Step 1: Guide Image The entire area of ​​​​is Ω, and the neighborhood area of ​​the pixel position x (x∈Ω) to be processed is N 4 (x), whose size is expressed as [-4,4]×[-4,4], for a certain pixel in the neighborhood t(t∈N 4 (x)), its airspace distance weight g t The following Gaussian function is used:

[0053]

[0054] Where: ||t|| is the Euclidean distance between the pixel to be processed x and the neighboring pixel t, σ s is the standard deviation, and its value is 2.

[0055] Step 2: For a certain pixel point t in the neighborhood of the pixel position x (t∈N 4 (x)), its position coordinate is denoted as x+t, and a neighborhood area of ​​size [-4,4]×[-4,4] is formed at this point, denoted as N 4 (x+t), and perform histogram fitting on the pixels of the neighborhood area. The fitting function ad...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A guided trilateral filtering ultrasonic image speckle noise removal method comprises the steps of calculating the space domain distance weight of a guided image through a Gaussian function, and setting the standard deviation of the guided image to be increased along with increase of noise intensity; carrying out Histogram fitting on a local area of the guide image, and selecting a Fisher-Tippettprobability density function selected as a fitting function; Estimating a distribution parameter of the Tippett probability density function by adopting a maximum likelihood method, and calculating adistribution similarity weight according to the estimated parameter; calculating Pixel value difference weight of a guide image by using an exponential function, and setting a scale parameter of the guide image as an estimated Fisher-; Wherein the Tippett distribution parameters are in direct proportion change; And carrying out local iterative filtering on the ultrasonic image by using the three calculated weights, and carrying out iterative convergence to obtain the ultrasonic image with speckle noise removed. According to the method, the filtering weight value is calculated through three aspects of information of the spatial domain distance, the pixel value difference and the distribution similarity, speckle noise can be effectively reduced, meanwhile, detail and edge information of theimage can be better reserved, and therefore visual interpretation of the ultrasonic image is enhanced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for removing speckle noise in ultrasonic images guided by trilateral filtering. Background technique [0002] At present, ultrasound imaging has become the first choice for clinical diagnosis of many diseases, and has developed into a series of diagnostic techniques that can provide a variety of parameters. Ultrasound imaging methods are often used to judge the location, size, and shape of organs, determine the scope and physical properties of lesions, provide anatomical maps of some glandular tissues, and identify normal and abnormal fetuses. , The application of the urinary system is very extensive. Ultrasound imaging adopts the principle of echo. The probe of the instrument emits a beam of ultrasound into the human body, and performs linear, fan-shaped or other forms of scanning. When encountering the interface of two tissues with different acoustic impedanc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 崔文超李蒙蒙邵良志孙水发董方敏
Owner CHINA THREE GORGES UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products