An improved edge-detection algorithm according to wavelet transform

Y. Z. Yang; H. Xu; Y. Ding

doi:10.1201/b18512-46

An improved edge-detection algorithm according to wavelet transform

Y. Z. Yang, H. Xu, Y. Ding

School of Aerospace Engineering

Beijing Institute of Technology

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

Abstract

Considering the problems in the traditional algorithm of edge detection, such as fuzzy, discontinuous, and so on, according to the multiscale characteristics of the edge and noise, and the basic principle of wavelet transform, this paper presents a method to get the local maxima of module by interpolation, and then associates with the image edge by setting dual-threshold. The experimental result with Lenna image shows that the proposed algorithm extracts the image details effectively, and the continuity of the image edge is satisfying.

Original language	English
Title of host publication	Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014
Editors	Ally Leung
Publisher	CRC Press/Balkema
Pages	217-222
Number of pages	6
ISBN (Print)	9781138027756
DOIs	https://doi.org/10.1201/b18512-46
Publication status	Published - 2015
Event	International Conference on Multimedia, Communication and Computing Application, MCCA 2014 - Xiamen, China Duration: 15 Oct 2014 → 16 Oct 2014

Publication series

Name	Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014

Conference

Conference	International Conference on Multimedia, Communication and Computing Application, MCCA 2014
Country/Territory	China
City	Xiamen
Period	15/10/14 → 16/10/14

Keywords

Dual-threshold
Edge detection
Wavelet transform

Access to Document

10.1201/b18512-46

Cite this

Yang, Y. Z., Xu, H., & Ding, Y. (2015). An improved edge-detection algorithm according to wavelet transform. In A. Leung (Ed.), Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014 (pp. 217-222). (Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014). CRC Press/Balkema. https://doi.org/10.1201/b18512-46

Yang, Y. Z. ; Xu, H. ; Ding, Y. / An improved edge-detection algorithm according to wavelet transform. Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014. editor / Ally Leung. CRC Press/Balkema, 2015. pp. 217-222 (Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014).

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title = "An improved edge-detection algorithm according to wavelet transform",

abstract = "Considering the problems in the traditional algorithm of edge detection, such as fuzzy, discontinuous, and so on, according to the multiscale characteristics of the edge and noise, and the basic principle of wavelet transform, this paper presents a method to get the local maxima of module by interpolation, and then associates with the image edge by setting dual-threshold. The experimental result with Lenna image shows that the proposed algorithm extracts the image details effectively, and the continuity of the image edge is satisfying.",

keywords = "Dual-threshold, Edge detection, Wavelet transform",

author = "Yang, {Y. Z.} and H. Xu and Y. Ding",

note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Multimedia, Communication and Computing Application, MCCA 2014 ; Conference date: 15-10-2014 Through 16-10-2014",

year = "2015",

doi = "10.1201/b18512-46",

language = "English",

isbn = "9781138027756",

series = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",

publisher = "CRC Press/Balkema",

pages = "217--222",

editor = "Ally Leung",

booktitle = "Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014",

}

Yang, YZ, Xu, H & Ding, Y 2015, An improved edge-detection algorithm according to wavelet transform. in A Leung (ed.), Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014. Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014, CRC Press/Balkema, pp. 217-222, International Conference on Multimedia, Communication and Computing Application, MCCA 2014, Xiamen, China, 15/10/14. https://doi.org/10.1201/b18512-46

An improved edge-detection algorithm according to wavelet transform. / Yang, Y. Z.; Xu, H.; Ding, Y.
Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014. ed. / Ally Leung. CRC Press/Balkema, 2015. p. 217-222 (Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014).

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

TY - GEN

T1 - An improved edge-detection algorithm according to wavelet transform

AU - Yang, Y. Z.

AU - Xu, H.

AU - Ding, Y.

PY - 2015

Y1 - 2015

N2 - Considering the problems in the traditional algorithm of edge detection, such as fuzzy, discontinuous, and so on, according to the multiscale characteristics of the edge and noise, and the basic principle of wavelet transform, this paper presents a method to get the local maxima of module by interpolation, and then associates with the image edge by setting dual-threshold. The experimental result with Lenna image shows that the proposed algorithm extracts the image details effectively, and the continuity of the image edge is satisfying.

AB - Considering the problems in the traditional algorithm of edge detection, such as fuzzy, discontinuous, and so on, according to the multiscale characteristics of the edge and noise, and the basic principle of wavelet transform, this paper presents a method to get the local maxima of module by interpolation, and then associates with the image edge by setting dual-threshold. The experimental result with Lenna image shows that the proposed algorithm extracts the image details effectively, and the continuity of the image edge is satisfying.

KW - Dual-threshold

KW - Edge detection

KW - Wavelet transform

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U2 - 10.1201/b18512-46

DO - 10.1201/b18512-46

M3 - Conference contribution

AN - SCOPUS:84949788334

SN - 9781138027756

T3 - Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014

SP - 217

EP - 222

BT - Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014

A2 - Leung, Ally

PB - CRC Press/Balkema

T2 - International Conference on Multimedia, Communication and Computing Application, MCCA 2014

Y2 - 15 October 2014 through 16 October 2014

ER -

Yang YZ, Xu H, Ding Y. An improved edge-detection algorithm according to wavelet transform. In Leung A, editor, Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014. CRC Press/Balkema. 2015. p. 217-222. (Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014). doi: 10.1201/b18512-46

An improved edge-detection algorithm according to wavelet transform

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