An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition

Guo Yurong; Wei Zhenzhong; Zhang Guangjun

doi:10.1109/ICEMI.2007.4350837

An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition

Guo Yurong^*
, Wei Zhenzhong
, Zhang Guangjun

^*Corresponding author for this work

Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)

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

4 Scopus citations

Abstract

Over the years, automatic and semiautomatic extraction of building from aerial and spatial images has become an outstanding issue. This paper presents an application of Ant Colony Algorithm (ACA) for edge extraction in city aerial image for building recognition. The overall idea of this work is clustering pixels by a character complex of gray value, gradient and neighborhood of each pixel. The results of ACA will be compared with the results of Canny operator which is considered as the best edge feature extracting operator. And the comparison indicated that ACA is efficient in edge feature extraction, especially for the aerial images.

Original language	English
Title of host publication	2007 8th International Conference on Electronic Measurement and Instruments, ICEMI
Pages	2944-2947
Number of pages	4
DOIs	https://doi.org/10.1109/ICEMI.2007.4350837
State	Published - 2007
Externally published	Yes
Event	2007 8th International Conference on Electronic Measurement and Instruments, ICEMI - Xian, China Duration: 16 Aug 2007 → 18 Aug 2007

Publication series

Name	2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

Conference

Conference	2007 8th International Conference on Electronic Measurement and Instruments, ICEMI
Country/Territory	China
City	Xian
Period	16/08/07 → 18/08/07

Keywords

Aerial image
Ant colony algorithm
Edge feature extraction

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10.1109/ICEMI.2007.4350837

Cite this

Yurong, G., Zhenzhong, W., & Guangjun, Z. (2007). An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition. In 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI (pp. 2944-2947). Article 4350837 (2007 8th International Conference on Electronic Measurement and Instruments, ICEMI). https://doi.org/10.1109/ICEMI.2007.4350837

@inproceedings{4b192dc87e26495896f1c477e3737420,

title = "An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition",

abstract = "Over the years, automatic and semiautomatic extraction of building from aerial and spatial images has become an outstanding issue. This paper presents an application of Ant Colony Algorithm (ACA) for edge extraction in city aerial image for building recognition. The overall idea of this work is clustering pixels by a character complex of gray value, gradient and neighborhood of each pixel. The results of ACA will be compared with the results of Canny operator which is considered as the best edge feature extracting operator. And the comparison indicated that ACA is efficient in edge feature extraction, especially for the aerial images.",

keywords = "Aerial image, Ant colony algorithm, Edge feature extraction",

author = "Guo Yurong and Wei Zhenzhong and Zhang Guangjun",

year = "2007",

doi = "10.1109/ICEMI.2007.4350837",

language = "英语",

isbn = "1424411351",

series = "2007 8th International Conference on Electronic Measurement and Instruments, ICEMI",

pages = "2944--2947",

booktitle = "2007 8th International Conference on Electronic Measurement and Instruments, ICEMI",

note = "2007 8th International Conference on Electronic Measurement and Instruments, ICEMI ; Conference date: 16-08-2007 Through 18-08-2007",

}

Yurong, G, Zhenzhong, W & Guangjun, Z 2007, An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition. in 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI., 4350837, 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI, pp. 2944-2947, 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI, Xian, China, 16/08/07. https://doi.org/10.1109/ICEMI.2007.4350837

An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition. / Yurong, Guo; Zhenzhong, Wei; Guangjun, Zhang.
2007 8th International Conference on Electronic Measurement and Instruments, ICEMI. 2007. p. 2944-2947 4350837 (2007 8th International Conference on Electronic Measurement and Instruments, ICEMI).

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

TY - GEN

T1 - An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition

AU - Yurong, Guo

AU - Zhenzhong, Wei

AU - Guangjun, Zhang

PY - 2007

Y1 - 2007

N2 - Over the years, automatic and semiautomatic extraction of building from aerial and spatial images has become an outstanding issue. This paper presents an application of Ant Colony Algorithm (ACA) for edge extraction in city aerial image for building recognition. The overall idea of this work is clustering pixels by a character complex of gray value, gradient and neighborhood of each pixel. The results of ACA will be compared with the results of Canny operator which is considered as the best edge feature extracting operator. And the comparison indicated that ACA is efficient in edge feature extraction, especially for the aerial images.

AB - Over the years, automatic and semiautomatic extraction of building from aerial and spatial images has become an outstanding issue. This paper presents an application of Ant Colony Algorithm (ACA) for edge extraction in city aerial image for building recognition. The overall idea of this work is clustering pixels by a character complex of gray value, gradient and neighborhood of each pixel. The results of ACA will be compared with the results of Canny operator which is considered as the best edge feature extracting operator. And the comparison indicated that ACA is efficient in edge feature extraction, especially for the aerial images.

KW - Aerial image

KW - Ant colony algorithm

KW - Edge feature extraction

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U2 - 10.1109/ICEMI.2007.4350837

DO - 10.1109/ICEMI.2007.4350837

M3 - 会议稿件

AN - SCOPUS:51349152227

SN - 1424411351

SN - 9781424411351

T3 - 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

SP - 2944

EP - 2947

BT - 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

T2 - 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

Y2 - 16 August 2007 through 18 August 2007

ER -

Yurong G, Zhenzhong W, Guangjun Z. An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition. In 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI. 2007. p. 2944-2947. 4350837. (2007 8th International Conference on Electronic Measurement and Instruments, ICEMI). doi: 10.1109/ICEMI.2007.4350837

An application of ant colony algorithm for edge feature extraction in city aerial image for building recognition

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