A self-adaptive correction method for perspective distortions of image

Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspecti...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wu, Lihua [verfasserIn] Shang, Qinghua [verfasserIn] Sun, Yupeng [verfasserIn] Bai, Xu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	perspective correction perspective transformation Hough transform edge detection

Übergeordnetes Werk:	Enthalten in: Frontiers of computer science in China - Beijing : Higher Education Press, 2007, 13(2019), 3 vom: 08. März, Seite 588-598
Übergeordnetes Werk:	volume:13 ; year:2019 ; number:3 ; day:08 ; month:03 ; pages:588-598

Links:	Volltext

DOI / URN:	10.1007/s11704-018-7269-8

Katalog-ID:	SPR021942234

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allfields	10.1007/s11704-018-7269-8 doi (DE-627)SPR021942234 (SPR)s11704-018-7269-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Wu, Lihua verfasserin aut A self-adaptive correction method for perspective distortions of image 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate. perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213 Shang, Qinghua verfasserin aut Sun, Yupeng verfasserin aut Bai, Xu verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2019), 3 vom: 08. März, Seite 588-598 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2019 number:3 day:08 month:03 pages:588-598 https://dx.doi.org/10.1007/s11704-018-7269-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2019 3 08 03 588-598
spelling	10.1007/s11704-018-7269-8 doi (DE-627)SPR021942234 (SPR)s11704-018-7269-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Wu, Lihua verfasserin aut A self-adaptive correction method for perspective distortions of image 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate. perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213 Shang, Qinghua verfasserin aut Sun, Yupeng verfasserin aut Bai, Xu verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2019), 3 vom: 08. März, Seite 588-598 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2019 number:3 day:08 month:03 pages:588-598 https://dx.doi.org/10.1007/s11704-018-7269-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2019 3 08 03 588-598
allfields_unstemmed	10.1007/s11704-018-7269-8 doi (DE-627)SPR021942234 (SPR)s11704-018-7269-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Wu, Lihua verfasserin aut A self-adaptive correction method for perspective distortions of image 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate. perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213 Shang, Qinghua verfasserin aut Sun, Yupeng verfasserin aut Bai, Xu verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2019), 3 vom: 08. März, Seite 588-598 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2019 number:3 day:08 month:03 pages:588-598 https://dx.doi.org/10.1007/s11704-018-7269-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2019 3 08 03 588-598
allfieldsGer	10.1007/s11704-018-7269-8 doi (DE-627)SPR021942234 (SPR)s11704-018-7269-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Wu, Lihua verfasserin aut A self-adaptive correction method for perspective distortions of image 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate. perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213 Shang, Qinghua verfasserin aut Sun, Yupeng verfasserin aut Bai, Xu verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2019), 3 vom: 08. März, Seite 588-598 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2019 number:3 day:08 month:03 pages:588-598 https://dx.doi.org/10.1007/s11704-018-7269-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2019 3 08 03 588-598
allfieldsSound	10.1007/s11704-018-7269-8 doi (DE-627)SPR021942234 (SPR)s11704-018-7269-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Wu, Lihua verfasserin aut A self-adaptive correction method for perspective distortions of image 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate. perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213 Shang, Qinghua verfasserin aut Sun, Yupeng verfasserin aut Bai, Xu verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2019), 3 vom: 08. März, Seite 588-598 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2019 number:3 day:08 month:03 pages:588-598 https://dx.doi.org/10.1007/s11704-018-7269-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2019 3 08 03 588-598
language	English
source	Enthalten in Frontiers of computer science in China 13(2019), 3 vom: 08. März, Seite 588-598 volume:13 year:2019 number:3 day:08 month:03 pages:588-598
sourceStr	Enthalten in Frontiers of computer science in China 13(2019), 3 vom: 08. März, Seite 588-598 volume:13 year:2019 number:3 day:08 month:03 pages:588-598
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	perspective correction perspective transformation Hough transform edge detection
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container_title	Frontiers of computer science in China
authorswithroles_txt_mv	Wu, Lihua @@aut@@ Shang, Qinghua @@aut@@ Sun, Yupeng @@aut@@ Bai, Xu @@aut@@
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author	Wu, Lihua
spellingShingle	Wu, Lihua ddc 004 bkl 54.00 misc perspective correction misc perspective transformation misc Hough transform misc edge detection A self-adaptive correction method for perspective distortions of image
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topic_title	004 ASE 54.00 bkl A self-adaptive correction method for perspective distortions of image perspective correction (dpeaa)DE-He213 perspective transformation (dpeaa)DE-He213 Hough transform (dpeaa)DE-He213 edge detection (dpeaa)DE-He213
topic	ddc 004 bkl 54.00 misc perspective correction misc perspective transformation misc Hough transform misc edge detection
topic_unstemmed	ddc 004 bkl 54.00 misc perspective correction misc perspective transformation misc Hough transform misc edge detection
topic_browse	ddc 004 bkl 54.00 misc perspective correction misc perspective transformation misc Hough transform misc edge detection
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title	A self-adaptive correction method for perspective distortions of image
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title_full	A self-adaptive correction method for perspective distortions of image
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title_sort	self-adaptive correction method for perspective distortions of image
title_auth	A self-adaptive correction method for perspective distortions of image
abstract	Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate.
abstractGer	Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate.
abstract_unstemmed	Abstract Frequently, the shooting angles available to photograph an object are limited, and the resultant images contain perspective distortions. These distortions make more difficult to perform subsequent tasks like feature extraction and information identification. This paper suggested a perspective correction method that extracts automatically distortion features through edge detection. Results showed that this method is powerful in correcting images with perspective distortions. The corrected image has virtually little information missing, clear features and high recovery rate.
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title_short	A self-adaptive correction method for perspective distortions of image
url	https://dx.doi.org/10.1007/s11704-018-7269-8
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author2	Shang, Qinghua Sun, Yupeng Bai, Xu
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up_date	2024-07-04T01:07:08.280Z
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