Automatic registration based on improved SIFT for medical microscopic sequence images

Chunming Tang; Yan Dong; Xiaohong Su

doi:10.1109/IITA.2008.586

Automatic registration based on improved SIFT for medical microscopic sequence images

Chunming Tang^*
, Yan Dong
, Xiaohong Su

^*Corresponding author for this work

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

20 Scopus citations

Abstract

Automatic registration in microscopic image sequence is a classical problem, which has not been solved well so far. According to the features of medical microscopic image sequence, the SIFT feature detection method of microscopic image registration is introduced. As large dimension of the traditional SIFT descriptor and its complex algorithm, an improved algorithm of the SIFT is presented, which can reduce the dimension. And a two-way matching algorithm is adopted to eliminate repeated matching points. Random Sampling Consensus algorithm (RANSAC) is applied for removal the wrong matching points to improve the accuracy of matching further. Compared with traditional registration algorithm, the results show that the improved SIFT algorithm has increased both in time-saving and complexity-reducing.

Original language	English
Title of host publication	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages	580-583
Number of pages	4
DOIs	https://doi.org/10.1109/IITA.2008.586
State	Published - 2008
Externally published	Yes
Event	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China Duration: 21 Dec 2008 → 22 Dec 2008

Publication series

Name	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Volume	1

Conference

Conference	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/Territory	China
City	Shanghai
Period	21/12/08 → 22/12/08

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10.1109/IITA.2008.586

Cite this

Tang, C., Dong, Y., & Su, X. (2008). Automatic registration based on improved SIFT for medical microscopic sequence images. In Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 (pp. 580-583). Article 4739639 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; Vol. 1). https://doi.org/10.1109/IITA.2008.586

Tang, Chunming ; Dong, Yan ; Su, Xiaohong. / Automatic registration based on improved SIFT for medical microscopic sequence images. Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. 2008. pp. 580-583 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008).

@inproceedings{cb7f1413e6194008ad50e6aa7a52fb6c,

title = "Automatic registration based on improved SIFT for medical microscopic sequence images",

abstract = "Automatic registration in microscopic image sequence is a classical problem, which has not been solved well so far. According to the features of medical microscopic image sequence, the SIFT feature detection method of microscopic image registration is introduced. As large dimension of the traditional SIFT descriptor and its complex algorithm, an improved algorithm of the SIFT is presented, which can reduce the dimension. And a two-way matching algorithm is adopted to eliminate repeated matching points. Random Sampling Consensus algorithm (RANSAC) is applied for removal the wrong matching points to improve the accuracy of matching further. Compared with traditional registration algorithm, the results show that the improved SIFT algorithm has increased both in time-saving and complexity-reducing.",

author = "Chunming Tang and Yan Dong and Xiaohong Su",

year = "2008",

doi = "10.1109/IITA.2008.586",

language = "英语",

isbn = "9780769534978",

series = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

pages = "580--583",

booktitle = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

note = "2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 ; Conference date: 21-12-2008 Through 22-12-2008",

}

Tang, C, Dong, Y & Su, X 2008, Automatic registration based on improved SIFT for medical microscopic sequence images. in Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008., 4739639, Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, vol. 1, pp. 580-583, 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, China, 21/12/08. https://doi.org/10.1109/IITA.2008.586

Automatic registration based on improved SIFT for medical microscopic sequence images. / Tang, Chunming; Dong, Yan; Su, Xiaohong.
Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. 2008. p. 580-583 4739639 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; Vol. 1).

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

TY - GEN

T1 - Automatic registration based on improved SIFT for medical microscopic sequence images

AU - Tang, Chunming

AU - Dong, Yan

AU - Su, Xiaohong

PY - 2008

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N2 - Automatic registration in microscopic image sequence is a classical problem, which has not been solved well so far. According to the features of medical microscopic image sequence, the SIFT feature detection method of microscopic image registration is introduced. As large dimension of the traditional SIFT descriptor and its complex algorithm, an improved algorithm of the SIFT is presented, which can reduce the dimension. And a two-way matching algorithm is adopted to eliminate repeated matching points. Random Sampling Consensus algorithm (RANSAC) is applied for removal the wrong matching points to improve the accuracy of matching further. Compared with traditional registration algorithm, the results show that the improved SIFT algorithm has increased both in time-saving and complexity-reducing.

AB - Automatic registration in microscopic image sequence is a classical problem, which has not been solved well so far. According to the features of medical microscopic image sequence, the SIFT feature detection method of microscopic image registration is introduced. As large dimension of the traditional SIFT descriptor and its complex algorithm, an improved algorithm of the SIFT is presented, which can reduce the dimension. And a two-way matching algorithm is adopted to eliminate repeated matching points. Random Sampling Consensus algorithm (RANSAC) is applied for removal the wrong matching points to improve the accuracy of matching further. Compared with traditional registration algorithm, the results show that the improved SIFT algorithm has increased both in time-saving and complexity-reducing.

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DO - 10.1109/IITA.2008.586

M3 - 会议稿件

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SN - 9780769534978

T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

SP - 580

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BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

Y2 - 21 December 2008 through 22 December 2008

ER -

Tang C, Dong Y, Su X. Automatic registration based on improved SIFT for medical microscopic sequence images. In Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. 2008. p. 580-583. 4739639. (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008). doi: 10.1109/IITA.2008.586

Automatic registration based on improved SIFT for medical microscopic sequence images

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