Paper Info
Title
An adaptive speckle removal algorithm for ultrasound image based on Euler's elastic model
Abstract
The quality of ultrasound image is generally corrupted by speckle noise which reduces the contrast and details of images. But the effective method for speckle removal without blurring edge has been still a challenging point. The Euler's elastic model has the ability to ensure the continuity of isolux corrupted by noise in despeckling. In this paper, to overcome these problems, the adaptive speckle removal algorithm based on Euler's elastic model (ASREEM) is proposed. The experimental results show that the proposed approach can achieve a better trade-off between preserving small structures and speckle removal than conventional methods.
Year
DOI
Venue
2014
10.1109/ChinaSIP.2014.6889311
ChinaSIP
Keywords
Field
DocType
biomedical image processing, speckle removal, edge preservation and enhancement, Euler's elastic model, bounded variation function
Computer vision,Speckle pattern,Effective method,Algorithm,Euler's formula,Artificial intelligence,Speckle noise,Elasticity (economics),Ultrasound image,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Qiong Zhang131.74
M. Shen24512.04
Bin Li352.49