Saddle-point based separation of touched objects in 2-D image

Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The probl...
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Autor*in:	Chen, Ken [verfasserIn] Banta, Larry E. Jiang, Gangyi

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2006

Anmerkung:	© Science Press 2006

Übergeordnetes Werk:	Enthalten in: Journal of electronics (China) - Beijing : Science Pr., 1984, 23(2006), 3 vom: 01. Mai, Seite 452-456
Übergeordnetes Werk:	volume:23 ; year:2006 ; number:3 ; day:01 ; month:05 ; pages:452-456

Links:	Volltext

DOI / URN:	10.1007/s11767-005-0119-5

Katalog-ID:	SPR022299890

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allfields	10.1007/s11767-005-0119-5 doi (DE-627)SPR022299890 (SPR)s11767-005-0119-5-e DE-627 ger DE-627 rakwb eng Chen, Ken verfasserin aut Saddle-point based separation of touched objects in 2-D image 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press 2006 Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. Banta, Larry E. aut Jiang, Gangyi aut Enthalten in Journal of electronics (China) Beijing : Science Pr., 1984 23(2006), 3 vom: 01. Mai, Seite 452-456 (DE-627)537443169 (DE-600)2376287-1 1993-0615 nnns volume:23 year:2006 number:3 day:01 month:05 pages:452-456 https://dx.doi.org/10.1007/s11767-005-0119-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_702 GBV_ILN_2190 GBV_ILN_2700 GBV_ILN_4313 GBV_ILN_4328 AR 23 2006 3 01 05 452-456
spelling	10.1007/s11767-005-0119-5 doi (DE-627)SPR022299890 (SPR)s11767-005-0119-5-e DE-627 ger DE-627 rakwb eng Chen, Ken verfasserin aut Saddle-point based separation of touched objects in 2-D image 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press 2006 Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. Banta, Larry E. aut Jiang, Gangyi aut Enthalten in Journal of electronics (China) Beijing : Science Pr., 1984 23(2006), 3 vom: 01. Mai, Seite 452-456 (DE-627)537443169 (DE-600)2376287-1 1993-0615 nnns volume:23 year:2006 number:3 day:01 month:05 pages:452-456 https://dx.doi.org/10.1007/s11767-005-0119-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_702 GBV_ILN_2190 GBV_ILN_2700 GBV_ILN_4313 GBV_ILN_4328 AR 23 2006 3 01 05 452-456
allfields_unstemmed	10.1007/s11767-005-0119-5 doi (DE-627)SPR022299890 (SPR)s11767-005-0119-5-e DE-627 ger DE-627 rakwb eng Chen, Ken verfasserin aut Saddle-point based separation of touched objects in 2-D image 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press 2006 Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. Banta, Larry E. aut Jiang, Gangyi aut Enthalten in Journal of electronics (China) Beijing : Science Pr., 1984 23(2006), 3 vom: 01. Mai, Seite 452-456 (DE-627)537443169 (DE-600)2376287-1 1993-0615 nnns volume:23 year:2006 number:3 day:01 month:05 pages:452-456 https://dx.doi.org/10.1007/s11767-005-0119-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_702 GBV_ILN_2190 GBV_ILN_2700 GBV_ILN_4313 GBV_ILN_4328 AR 23 2006 3 01 05 452-456
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allfieldsSound	10.1007/s11767-005-0119-5 doi (DE-627)SPR022299890 (SPR)s11767-005-0119-5-e DE-627 ger DE-627 rakwb eng Chen, Ken verfasserin aut Saddle-point based separation of touched objects in 2-D image 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press 2006 Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. Banta, Larry E. aut Jiang, Gangyi aut Enthalten in Journal of electronics (China) Beijing : Science Pr., 1984 23(2006), 3 vom: 01. Mai, Seite 452-456 (DE-627)537443169 (DE-600)2376287-1 1993-0615 nnns volume:23 year:2006 number:3 day:01 month:05 pages:452-456 https://dx.doi.org/10.1007/s11767-005-0119-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_31 GBV_ILN_40 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_702 GBV_ILN_2190 GBV_ILN_2700 GBV_ILN_4313 GBV_ILN_4328 AR 23 2006 3 01 05 452-456
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title_auth	Saddle-point based separation of touched objects in 2-D image
abstract	Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. © Science Press 2006
abstractGer	Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. © Science Press 2006
abstract_unstemmed	Abstract In many image analysis and processing problems, discriminating the size and shape of each individual object in an aggregate pile projected in an image is an important practice. It is relatively easy to distinguish these features among the objects already separated from each other. The problems will be undoubtedly more complex and of greater challenge if the objects are touched or/and overlapped. This letter presents an algorithm that can be used to separate the touches and overlaps existing in the objects within a 2-D image. The approach is first to convert the gray-scale image to its corresponding binary one and then to the 3-D topographic one using the erosion operations. A template (or mask) is engineered to search the topographic surface for the saddle point, from which the segmenting orientation is determined followed by the desired separating operation. The algorithm is tested on a real image and the running result is adequately satisfying and encouraging. © Science Press 2006
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title_short	Saddle-point based separation of touched objects in 2-D image
url	https://dx.doi.org/10.1007/s11767-005-0119-5
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author2	Banta, Larry E. Jiang, Gangyi
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doi_str	10.1007/s11767-005-0119-5
up_date	2024-07-04T02:36:21.245Z
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