A New Algorithm for Object Segmentation in Noisy Ultrasound Images

Authors

  • Sorin M. IACOB
  • Maria Eugenia IACOB

Keywords:

Ultrasound imaging, Image processing, Contour detection, Object segmentation.

Abstract

The paper focuses on a new method for contour approximation that can provide improved accuracy even in the case when the input image is strongly affected by stationary noise that causes false contour fragments. Some classic segmentation techniques are also briefly described in order to emphasize the advantages of our method.

Published

23.06.2011

How to Cite

1.
IACOB SM, IACOB ME. A New Algorithm for Object Segmentation in Noisy Ultrasound Images. Appl Med Inform [Internet]. 2011 Jun. 23 [cited 2024 Apr. 20];1(2):27-34. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/334

Issue

Vol. 1 No. 2 (1995)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.