A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image
Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge al...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Sanghun [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2015 |
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| Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Springer US, 1994, 86(2015), 1 vom: 18. Aug., Seite 77-90 |
|---|---|
| Übergeordnetes Werk: |
volume:86 ; year:2015 ; number:1 ; day:18 ; month:08 ; pages:77-90 |
| Links: |
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| DOI / URN: |
10.1007/s11277-015-3033-7 |
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OLC2053795557 |
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10.1007/s11277-015-3033-7 doi (DE-627)OLC2053795557 (DE-He213)s11277-015-3033-7-p DE-627 ger DE-627 rakwb eng 620 VZ Lee, Sanghun verfasserin aut A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. ITS Bilateral filter Graph cut Canny edge algorithm K-means clustering Normalized cut Lee, Gangseong aut Hong, Yeongpyo aut Kim, Jihoon aut Enthalten in Wireless personal communications Springer US, 1994 86(2015), 1 vom: 18. Aug., Seite 77-90 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:86 year:2015 number:1 day:18 month:08 pages:77-90 https://doi.org/10.1007/s11277-015-3033-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 86 2015 1 18 08 77-90 |
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10.1007/s11277-015-3033-7 doi (DE-627)OLC2053795557 (DE-He213)s11277-015-3033-7-p DE-627 ger DE-627 rakwb eng 620 VZ Lee, Sanghun verfasserin aut A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. ITS Bilateral filter Graph cut Canny edge algorithm K-means clustering Normalized cut Lee, Gangseong aut Hong, Yeongpyo aut Kim, Jihoon aut Enthalten in Wireless personal communications Springer US, 1994 86(2015), 1 vom: 18. Aug., Seite 77-90 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:86 year:2015 number:1 day:18 month:08 pages:77-90 https://doi.org/10.1007/s11277-015-3033-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 86 2015 1 18 08 77-90 |
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10.1007/s11277-015-3033-7 doi (DE-627)OLC2053795557 (DE-He213)s11277-015-3033-7-p DE-627 ger DE-627 rakwb eng 620 VZ Lee, Sanghun verfasserin aut A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. ITS Bilateral filter Graph cut Canny edge algorithm K-means clustering Normalized cut Lee, Gangseong aut Hong, Yeongpyo aut Kim, Jihoon aut Enthalten in Wireless personal communications Springer US, 1994 86(2015), 1 vom: 18. Aug., Seite 77-90 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:86 year:2015 number:1 day:18 month:08 pages:77-90 https://doi.org/10.1007/s11277-015-3033-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 86 2015 1 18 08 77-90 |
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10.1007/s11277-015-3033-7 doi (DE-627)OLC2053795557 (DE-He213)s11277-015-3033-7-p DE-627 ger DE-627 rakwb eng 620 VZ Lee, Sanghun verfasserin aut A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2015 Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. ITS Bilateral filter Graph cut Canny edge algorithm K-means clustering Normalized cut Lee, Gangseong aut Hong, Yeongpyo aut Kim, Jihoon aut Enthalten in Wireless personal communications Springer US, 1994 86(2015), 1 vom: 18. Aug., Seite 77-90 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:86 year:2015 number:1 day:18 month:08 pages:77-90 https://doi.org/10.1007/s11277-015-3033-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_4266 AR 86 2015 1 18 08 77-90 |
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Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. © Springer Science+Business Media New York 2015 |
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Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. © Springer Science+Business Media New York 2015 |
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Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN. © Springer Science+Business Media New York 2015 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2053795557</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504075154.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-015-3033-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2053795557</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11277-015-3033-7-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lee, Sanghun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. 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