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

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

4 Scopus citations

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.

Original language	English
Title of host publication	2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
Editors	Kuniaki Uehara, Masahide Nakamura
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509008063
DOIs	https://doi.org/10.1109/ICIS.2016.7550798
State	Published - 23 08 2016
Externally published	Yes
Event	15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016 - Okayama, Japan Duration: 26 06 2016 → 29 06 2016

Publication series

Name	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
Country/Territory	Japan
City	Okayama
Period	26/06/16 → 29/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

algorithm
digital filter
image processing
new method
vehicle detection

Access to Document

10.1109/ICIS.2016.7550798

Cite this

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. In K. Uehara, & M. Nakamura (Eds.), 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings Article 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 et al. / 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. editor / 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",

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}

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. in K Uehara & M Nakamura (eds), 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, Japan, 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 et al.
2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings. ed. / 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).

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

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.

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KW - digital filter

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ER -

Gochoo M, Bayanduuren D, Khuchit U, Battur G, Tan TH, Kuo SY et al. Design and application of novel morphological filter used in vehicle detection. In Uehara K, Nakamura M, editors, 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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Keywords

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