Veterinary B-ultrasound Equipment

Industry News

Implementation and function of the power model method for veterinary B-ultrasound system

Views :
Update time : 2024-09-02 14:17:58

Veterinary B-ultrasound system model method, the model-based texture feature extraction method is derived from various models of modern texture analysis, that is, from the perspective of modeling, given the regenerated model and its parameter values for texture synthesis, generate image texture samples, and then verify and estimate. Texture is mainly represented by statistical models.

Veterinary B-ultrasound system Markov random field model, the Markov random field model assumes that the grayscale of each pixel in the image is only related to the grayscale of the neighboring pixels, and the texture model is defined by the local conditional probability density function of the neighboring pixels. For animal liver veterinary B-ultrasound images, the texture area of veterinary B-ultrasound images can be regarded as a finite sampling of a two-dimensional random process. The dependency between each texture primitive reflects the different aggregation of texture primitives and corresponds to different statistical parameters. Therefore, the Markov random field model can well describe the random characteristics of texture. When applied to animal liver veterinary B-ultrasound images, the local eigenvalues of the 1-4 order model are usually calculated as texture parameters.

Implementation and function of the power model method for veterinary B-ultrasound system(图1)

Veterinary B-ultrasound system autoregressive moving average model, the ARMA model is an important tool for time series analysis. The model assumes that there is a certain dependence (such as linear correlation) between the grayscale of a pixel at a certain position in the image and the grayscale of a certain neighborhood pixel around it. The model parameters are estimated by the image grayscale, and the corresponding model parameters of various texture images are classified by solving the equations, and then the parameters of the new texture image are estimated. Animal liver veterinary B-ultrasound images mainly use this model to characterize the directional characteristics of the texture. Someone used an autoregressive periodic random field model to extract the texture features of normal, hepatitis and fatty liver veterinary B-ultrasound images of animals, which is much more effective than the traditional grayscale co-occurrence matrix method.



link: https://www.bxlimage.com/nw/209.html

tags: veterinary B-ultrasound
Related News
Veterinary B-ultrasound measurement of back fat, eye muscles, and intramuscular fat
Veterinary B-ultrasound measurement of back fat, eye muscles, and intramuscular fat
09-26-2024
When using veterinary B-ultrasound to measure the back fat and eye muscle area o...
Method for measuring the thickness of back fat of breeding pigs by veterinary B-ultrasound
Method for measuring the thickness of back fat of breeding pigs by veterinary B-ultrasound
09-26-2024
Measurement of back fat thickness of breeding pigs. In the veterinary B-ultrasou...
What is the difference between B-ultrasound for cattle and A-ultrasound for veterinary use?
What is the difference between B-ultrasound for cattle and A-ultrasound for veterinary use?
09-26-2024
Ultrasonic diagnosis is a physical examination method that closely combines the ...
Why is the real-time performance of veterinary B-ultrasound important?
Why is the real-time performance of veterinary B-ultrasound important?
09-26-2024
Real-time performance of veterinary B-ultrasound. The real-time performance of B...
Animal B-ultrasound 加热伸缩率试验仪