Application of Signal De-noising Method Based on Multi-scale Analysis for B-Scan Ultrasonic Image Recognition of FattyLiver
Xu Liang · Computer and Digital Engineering · 2015
A method of B-Scan ultrasonic images denoising based on wavelet transform is explored.It improved accuracy of B-Scan ultrasonic image recognition of fatty liver.A speckle suppression method for B-Scan ultrasound image based on improved threshold of wavelet transform is presented.Firstly,a speckle noise model that is carried out to the B-Scan ultrasound image is built.Secondly,the image is decomposed into low frequency and high frequency information by wavelet transform.Adaptive threshold denoising are carried out to the fatty liver B-Scan ultrasonic images.Finally,the inverse wavelet transform is processed.The speckle noises in the original image are removed efficiently and the image edge details are reserved.The method is denoising speckle noises and reserving edge details in B-Scan ultrasonic image effciently.It improves accuracy of B-Scan ultrasonic image recognition of fatty liver.