Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression

Yipeng Liu; Jing Jin; Qiang Wang; Shen Yi

doi:10.1109/IMTC.2011.5944100

Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression

Yipeng Liu^*
, Jing Jin
, Qiang Wang
, Shen Yi

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, we propose an improved algorithm based on bidimensional empirical mode decomposition (BEMD) to compress the ultrasonic images. The algorithm uses morphological operators to identify the extrema of the image in the process of compression based on BEMD, and introduces variable sampling by different rates horizontally and vertically for overlapping blocks in the ultrasonic image. Furthermore, we propose the non-uniform sampling method for each single block considering the focalization of the extrema distribution. Finally, the performance of the proposed compression algorithm, using BEMD and non-uniform sampling, is demonstrated through the experiment conducted on an ultrasonic image.

Original language	English
Title of host publication	2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings
Pages	436-440
Number of pages	5
DOIs	https://doi.org/10.1109/IMTC.2011.5944100
State	Published - 2011
Event	2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Binjiang, Hangzhou, China Duration: 10 May 2011 → 12 May 2011

Publication series

Name	Conference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)	1091-5281

Conference

Conference	2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011
Country/Territory	China
City	Binjiang, Hangzhou
Period	10/05/11 → 12/05/11

Keywords

bidimensional empirical mode decomposition
morphological operators
non-uniform sampling
ultrasonic image compression

Access to Document

10.1109/IMTC.2011.5944100

Cite this

Liu, Y., Jin, J., Wang, Q., & Yi, S. (2011). Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression. In 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings (pp. 436-440). Article 5944100 (Conference Record - IEEE Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/IMTC.2011.5944100

@inproceedings{eeccb9fa7c094a2da4f99d24eaac567e,

title = "Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression",

abstract = "In this paper, we propose an improved algorithm based on bidimensional empirical mode decomposition (BEMD) to compress the ultrasonic images. The algorithm uses morphological operators to identify the extrema of the image in the process of compression based on BEMD, and introduces variable sampling by different rates horizontally and vertically for overlapping blocks in the ultrasonic image. Furthermore, we propose the non-uniform sampling method for each single block considering the focalization of the extrema distribution. Finally, the performance of the proposed compression algorithm, using BEMD and non-uniform sampling, is demonstrated through the experiment conducted on an ultrasonic image.",

keywords = "bidimensional empirical mode decomposition, morphological operators, non-uniform sampling, ultrasonic image compression",

author = "Yipeng Liu and Jing Jin and Qiang Wang and Shen Yi",

year = "2011",

doi = "10.1109/IMTC.2011.5944100",

language = "英语",

isbn = "9781424479351",

series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

pages = "436--440",

booktitle = "2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings",

note = "2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 ; Conference date: 10-05-2011 Through 12-05-2011",

}

Liu, Y, Jin, J , Wang, Q & Yi, S 2011, Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression. in 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings., 5944100, Conference Record - IEEE Instrumentation and Measurement Technology Conference, pp. 436-440, 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011, Binjiang, Hangzhou, China, 10/05/11. https://doi.org/10.1109/IMTC.2011.5944100

Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression. / Liu, Yipeng; Jin, Jing ; Wang, Qiang et al.
2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings. 2011. p. 436-440 5944100 (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression

AU - Liu, Yipeng

AU - Jin, Jing

AU - Wang, Qiang

AU - Yi, Shen

PY - 2011

Y1 - 2011

N2 - In this paper, we propose an improved algorithm based on bidimensional empirical mode decomposition (BEMD) to compress the ultrasonic images. The algorithm uses morphological operators to identify the extrema of the image in the process of compression based on BEMD, and introduces variable sampling by different rates horizontally and vertically for overlapping blocks in the ultrasonic image. Furthermore, we propose the non-uniform sampling method for each single block considering the focalization of the extrema distribution. Finally, the performance of the proposed compression algorithm, using BEMD and non-uniform sampling, is demonstrated through the experiment conducted on an ultrasonic image.

AB - In this paper, we propose an improved algorithm based on bidimensional empirical mode decomposition (BEMD) to compress the ultrasonic images. The algorithm uses morphological operators to identify the extrema of the image in the process of compression based on BEMD, and introduces variable sampling by different rates horizontally and vertically for overlapping blocks in the ultrasonic image. Furthermore, we propose the non-uniform sampling method for each single block considering the focalization of the extrema distribution. Finally, the performance of the proposed compression algorithm, using BEMD and non-uniform sampling, is demonstrated through the experiment conducted on an ultrasonic image.

KW - bidimensional empirical mode decomposition

KW - morphological operators

KW - non-uniform sampling

KW - ultrasonic image compression

UR - https://www.scopus.com/pages/publications/80051905215

U2 - 10.1109/IMTC.2011.5944100

DO - 10.1109/IMTC.2011.5944100

M3 - 会议稿件

AN - SCOPUS:80051905215

SN - 9781424479351

T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference

SP - 436

EP - 440

BT - 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings

T2 - 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011

Y2 - 10 May 2011 through 12 May 2011

ER -

Liu Y, Jin J , Wang Q , Yi S. Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression. In 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings. 2011. p. 436-440. 5944100. (Conference Record - IEEE Instrumentation and Measurement Technology Conference). doi: 10.1109/IMTC.2011.5944100

Bidimensional empirical mode decomposition and non-uniform sampling based ultrasonic images compression

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this