Design and application of novel morphological filter used in vehicle detection

Munkhjargal Gochoo; Damdinsuren Bayanduuren; Uyangaa Khuchit; Galbadrakh Battur; Tan Hsu Tan; Sy Yen Kuo; Shih Chia Huang

doi:10.1109/ICIS.2016.7550798

Design and application of novel morphological filter used in vehicle detection

Munkhjargal Gochoo
, Damdinsuren Bayanduuren
, Uyangaa Khuchit
, Galbadrakh Battur
, Tan Hsu Tan
, Sy Yen Kuo
, Shih Chia Huang

Mongolian University of Science and Technology
National Taipei University of Technology
National Taiwan University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

4 引文斯高帕斯（Scopus）

摘要

In this paper we represent our proposed novel morphological filter developed under the scope of Taiwan-Mongolian co-project. We applied the implemented filter in vehicle detection from CCTV video signal. Our goalwas to develop a filter that can reduce the noise in background subtracted binary image, which created by camera shake, and unnecessary moving objects such as wave of the tree etc. We compared our filter performance with morphological open, close, erosion, dilation, and median filters. PSNR (Peak Signal to Noise Ratio) is employed for evaluating the performance of the filters, our filter's PSNR was relatively higher (21.39) than the other method. Furthermore, we used our filter for vehicle detection, and detection rate was 100% as the other methods. Thus, we conclude the new filter is sufficient for denoising binary image, and suitable for vehicle detection.

原文	英語
主出版物標題	2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
編輯	Kuniaki Uehara, Masahide Nakamura
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781509008063
DOIs	https://doi.org/10.1109/ICIS.2016.7550798
出版狀態	已出版 - 23 08 2016
對外發佈	是
事件	15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016 - Okayama, 日本持續時間: 26 06 2016 → 29 06 2016

出版系列

名字	2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings

Conference

Conference	15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016
國家/地區	日本
城市	Okayama
期間	26/06/16 → 29/06/16

文獻附註

Publisher Copyright:
© 2016 IEEE.

存取文件

10.1109/ICIS.2016.7550798

其它文件與鏈接

Link to publication in Scopus

引用此

Gochoo, M., Bayanduuren, D., Khuchit, U., Battur, G., Tan, T. H., Kuo, S. Y., & Huang, S. C. (2016). Design and application of novel morphological filter used in vehicle detection. 於 K. Uehara, & M. Nakamura (編輯), 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings 文章 7550798 (2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIS.2016.7550798

Gochoo, Munkhjargal ; Bayanduuren, Damdinsuren ; Khuchit, Uyangaa 等. / Design and application of novel morphological filter used in vehicle detection. 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. 編輯 / Kuniaki Uehara ; Masahide Nakamura. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings).

@inproceedings{c61d3c598b354fd29ea6f856016ad323,

title = "Design and application of novel morphological filter used in vehicle detection",

abstract = "In this paper we represent our proposed novel morphological filter developed under the scope of Taiwan-Mongolian co-project. We applied the implemented filter in vehicle detection from CCTV video signal. Our goalwas to develop a filter that can reduce the noise in background subtracted binary image, which created by camera shake, and unnecessary moving objects such as wave of the tree etc. We compared our filter performance with morphological open, close, erosion, dilation, and median filters. PSNR (Peak Signal to Noise Ratio) is employed for evaluating the performance of the filters, our filter's PSNR was relatively higher (21.39) than the other method. Furthermore, we used our filter for vehicle detection, and detection rate was 100\% as the other methods. Thus, we conclude the new filter is sufficient for denoising binary image, and suitable for vehicle detection.",

keywords = "algorithm, digital filter, image processing, new method, vehicle detection",

author = "Munkhjargal Gochoo and Damdinsuren Bayanduuren and Uyangaa Khuchit and Galbadrakh Battur and Tan, \{Tan Hsu\} and Kuo, \{Sy Yen\} and Huang, \{Shih Chia\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016 ; Conference date: 26-06-2016 Through 29-06-2016",

year = "2016",

month = aug,

day = "23",

doi = "10.1109/ICIS.2016.7550798",

language = "英语",

series = "2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Kuniaki Uehara and Masahide Nakamura",

booktitle = "2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings",

address = "美国",

}

Gochoo, M, Bayanduuren, D, Khuchit, U, Battur, G, Tan, TH, Kuo, SY & Huang, SC 2016, Design and application of novel morphological filter used in vehicle detection. 於 K Uehara & M Nakamura (編輯), 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings., 7550798, 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016, Okayama, 日本, 26/06/16. https://doi.org/10.1109/ICIS.2016.7550798

Design and application of novel morphological filter used in vehicle detection. / Gochoo, Munkhjargal; Bayanduuren, Damdinsuren; Khuchit, Uyangaa 等.
2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. 編輯 / Kuniaki Uehara; Masahide Nakamura. Institute of Electrical and Electronics Engineers Inc., 2016. 7550798 (2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Design and application of novel morphological filter used in vehicle detection

AU - Gochoo, Munkhjargal

AU - Bayanduuren, Damdinsuren

AU - Khuchit, Uyangaa

AU - Battur, Galbadrakh

AU - Tan, Tan Hsu

AU - Kuo, Sy Yen

AU - Huang, Shih Chia

PY - 2016/8/23

Y1 - 2016/8/23

N2 - In this paper we represent our proposed novel morphological filter developed under the scope of Taiwan-Mongolian co-project. We applied the implemented filter in vehicle detection from CCTV video signal. Our goalwas to develop a filter that can reduce the noise in background subtracted binary image, which created by camera shake, and unnecessary moving objects such as wave of the tree etc. We compared our filter performance with morphological open, close, erosion, dilation, and median filters. PSNR (Peak Signal to Noise Ratio) is employed for evaluating the performance of the filters, our filter's PSNR was relatively higher (21.39) than the other method. Furthermore, we used our filter for vehicle detection, and detection rate was 100% as the other methods. Thus, we conclude the new filter is sufficient for denoising binary image, and suitable for vehicle detection.

AB - In this paper we represent our proposed novel morphological filter developed under the scope of Taiwan-Mongolian co-project. We applied the implemented filter in vehicle detection from CCTV video signal. Our goalwas to develop a filter that can reduce the noise in background subtracted binary image, which created by camera shake, and unnecessary moving objects such as wave of the tree etc. We compared our filter performance with morphological open, close, erosion, dilation, and median filters. PSNR (Peak Signal to Noise Ratio) is employed for evaluating the performance of the filters, our filter's PSNR was relatively higher (21.39) than the other method. Furthermore, we used our filter for vehicle detection, and detection rate was 100% as the other methods. Thus, we conclude the new filter is sufficient for denoising binary image, and suitable for vehicle detection.

KW - algorithm

KW - digital filter

KW - image processing

KW - new method

KW - vehicle detection

UR - https://www.scopus.com/pages/publications/84988014909

U2 - 10.1109/ICIS.2016.7550798

DO - 10.1109/ICIS.2016.7550798

M3 - 会议稿件

AN - SCOPUS:84988014909

T3 - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings

BT - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings

A2 - Uehara, Kuniaki

A2 - Nakamura, Masahide

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016

Y2 - 26 June 2016 through 29 June 2016

ER -

Gochoo M, Bayanduuren D, Khuchit U, Battur G, Tan TH, Kuo SY 等. Design and application of novel morphological filter used in vehicle detection. 於 Uehara K, Nakamura M, 編輯, 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7550798. (2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings). doi: 10.1109/ICIS.2016.7550798

Design and application of novel morphological filter used in vehicle detection

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