Publication result detail

Fuzzy approach in ultrasound image segmentation

KOLÁŘ, R., KOZUMPLÍK, J.

Original Title

Fuzzy approach in ultrasound image segmentation

English Title

Fuzzy approach in ultrasound image segmentation

Type

Paper in proceedings (conference paper)

Original Abstract

This contribution present a new approach for ultrasound image segmentation, based on the fuzzy theory. The segmentation is performed on the 2D envelope of radiofrequency (RF) signals instead of the B-mode image. The segmented image is then used to create the sector image.

English abstract

This contribution present a new approach for ultrasound image segmentation, based on the fuzzy theory. The segmentation is performed on the 2D envelope of radiofrequency (RF) signals instead of the B-mode image. The segmented image is then used to create the sector image.

Key words in English

fuzzy entropy, ultrasound, segmentation

Authors

KOLÁŘ, R., KOZUMPLÍK, J.

Released

01.01.2001

Publisher

Springer-Verlag Berlin Heidelberg

Location

Springer-Verlag Berlin Heidelberg

ISBN

3-540-42732-5

Book

Computational Intelligence, Theory and Applications

Edition

Lecture Notes in Computer Science 2206

Pages from

924

Pages count

929

URL

Computational Intelligence, Theory and Applications, Springer

BibTex

@inproceedings{BUT2882,
  author="Radim {Kolář} and Jiří {Kozumplík}",
  title="Fuzzy approach in ultrasound image segmentation",
  booktitle="Computational Intelligence, Theory and Applications",
  year="2001",
  series="Lecture Notes in Computer Science 2206",
  pages="929",
  publisher="Springer-Verlag Berlin Heidelberg",
  address="Springer-Verlag Berlin Heidelberg",
  isbn="3-540-42732-5",
  url="Computational Intelligence, Theory and Applications, Springer"
}