Road detection based on the color space and cluster connecting

I. Komang Somawirata; Fitri Utaminingrum

doi:10.1109/SIPROCESS.2016.7888235

Road detection based on the color space and cluster connecting

I. Komang Somawirata
, Fitri Utaminingrum

Faculty of Computer Science

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

19 Citations (Scopus)

Abstract

This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection will be removed, if their cluster image uncorrelated with neighbors cluster image. The simulation results show that our method has good performance which is capable significantly removing fails road detection. As well as evaluation by using precision, recall and accuracy have been presented.

Original language	English
Title of host publication	2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	118-122
Number of pages	5
ISBN (Electronic)	9781509023769
DOIs	https://doi.org/10.1109/SIPROCESS.2016.7888235
Publication status	Published - 27 Mar 2017
Event	2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016 - Beijing, China Duration: 13 Aug 2016 → 15 Aug 2016

Publication series

Name	2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016

Conference

Conference	2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
Country/Territory	China
City	Beijing
Period	13/08/16 → 15/08/16

Keywords

Color space
Image cluster
Road detection

Access to Document

10.1109/SIPROCESS.2016.7888235

Cite this

Somawirata, I. K., & Utaminingrum, F. (2017). Road detection based on the color space and cluster connecting. In 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016 (pp. 118-122). Article 7888235 (2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIPROCESS.2016.7888235

@inproceedings{1db0c070f1d1497fb966331ce88261d9,

title = "Road detection based on the color space and cluster connecting",

abstract = "This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection will be removed, if their cluster image uncorrelated with neighbors cluster image. The simulation results show that our method has good performance which is capable significantly removing fails road detection. As well as evaluation by using precision, recall and accuracy have been presented.",

keywords = "Color space, Image cluster, Road detection",

author = "Somawirata, \{I. Komang\} and Fitri Utaminingrum",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016 ; Conference date: 13-08-2016 Through 15-08-2016",

year = "2017",

month = mar,

day = "27",

doi = "10.1109/SIPROCESS.2016.7888235",

language = "English",

series = "2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016",

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

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}

Somawirata, IK & Utaminingrum, F 2017, Road detection based on the color space and cluster connecting. in 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016., 7888235, 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016, Institute of Electrical and Electronics Engineers Inc., pp. 118-122, 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016, Beijing, China, 13/08/16. https://doi.org/10.1109/SIPROCESS.2016.7888235

Road detection based on the color space and cluster connecting. / Somawirata, I. Komang; Utaminingrum, Fitri.
2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 118-122 7888235 (2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016).

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

TY - GEN

T1 - Road detection based on the color space and cluster connecting

AU - Somawirata, I. Komang

AU - Utaminingrum, Fitri

PY - 2017/3/27

Y1 - 2017/3/27

N2 - This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection will be removed, if their cluster image uncorrelated with neighbors cluster image. The simulation results show that our method has good performance which is capable significantly removing fails road detection. As well as evaluation by using precision, recall and accuracy have been presented.

AB - This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection will be removed, if their cluster image uncorrelated with neighbors cluster image. The simulation results show that our method has good performance which is capable significantly removing fails road detection. As well as evaluation by using precision, recall and accuracy have been presented.

KW - Color space

KW - Image cluster

KW - Road detection

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U2 - 10.1109/SIPROCESS.2016.7888235

DO - 10.1109/SIPROCESS.2016.7888235

M3 - Conference contribution

AN - SCOPUS:85018719913

T3 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016

SP - 118

EP - 122

BT - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016

Y2 - 13 August 2016 through 15 August 2016

ER -

Somawirata IK, Utaminingrum F. Road detection based on the color space and cluster connecting. In 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 118-122. 7888235. (2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016). doi: 10.1109/SIPROCESS.2016.7888235

Road detection based on the color space and cluster connecting

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