A New Approach for B Ultrasound Images Enhancement

Article Preview

Abstract:

To make B ultrasound images clear, a new image enhancement method was studied.The study used an improved fuzzy algorithm based on gray-level to process B ultrasound images. And the process is largely simple by adding threshold selection which could meet different clinical demand. Several kinds of enhancement algorithms for B ultrasound images are evaluated and compared by using MATLAB to process the same image. The results after contrast show that the improved fuzzy algorithm is effective and achieved in clinical practice.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 785-786)

Pages:

1391-1394

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Shuqian Luo, Guohong Zhong. Medical image processing and analysis. Beijing: Science Press, (2003), pp.2-4. (In Chinese).

Google Scholar

[2] Dhnawan A P, BueIloni G, Gordon R. IEEE Transaction on Med mage, Vol. 5(1) (1986), p, 8-15.

Google Scholar

[3] Otsu N. A Threshold Selection Method From Gray Level Histograms. IEEE Press, (1979), p, 62-66.

Google Scholar

[4] HaiTai Yu. Based on the fuzzy set theory of image enhancement algorithms, doctor degree paper,. Xian: Xian Science and Technology university, (2005). (In Chinese).

Google Scholar

[5] Russo, F., Ramponi,G. SPLetters(3), No. 6, June (1996), p, 168-170.

Google Scholar

[6] Monteil Jerome, Beghdadi Azeddine. IEEE Traps Pattern Analysis and Machine Intelligence, Vol. 21 (9) ( 1999), p, 940-946.

Google Scholar