A Self-Construction of Automatic Crescent Detection Using Haar-Cascade Classifier and Support Vector Machine

Developing an automatic detection method based on computer vision applied to the moon crescent is an innovative concept that can be further developed. This program will be highly useful for observers during the Moon crescent observation because it can help them recognize objects quickly. This paper...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of physics. Conference series Vol. 2734; no. 1; pp. 12007 - 12014
Main Authors:	Muztaba, R, Malasan, H L, Djamal, M
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.03.2024
Subjects:	Algorithms Automatic Detection Cascade Classifier Classifiers Computer Vision Crescent Moon Moon Object recognition Support vector machines
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Developing an automatic detection method based on computer vision applied to the moon crescent is an innovative concept that can be further developed. This program will be highly useful for observers during the Moon crescent observation because it can help them recognize objects quickly. This paper proposes an automatic crescent moon detection method based on visual mechanisms and training using the Cascade Classifier algorithm. The stages of this method consist of building Haar structural features, extracting feature samples using Haar structural features, and training 981 images consisting of 654 positive images and 327 negative images using the Cascade Classifier. The results show that the crescent moon detection performance is quite good at detecting the crescent Moon. The developed program can recognize crescent moon objects, although it is limited to relatively large lunar illumination in the range of greater than 10% to less than 50%. Furthermore, our program can be applied in real-time situations.
AbstractList	Developing an automatic detection method based on computer vision applied to the moon crescent is an innovative concept that can be further developed. This program will be highly useful for observers during the Moon crescent observation because it can help them recognize objects quickly. This paper proposes an automatic crescent moon detection method based on visual mechanisms and training using the Cascade Classifier algorithm. The stages of this method consist of building Haar structural features, extracting feature samples using Haar structural features, and training 981 images consisting of 654 positive images and 327 negative images using the Cascade Classifier. The results show that the crescent moon detection performance is quite good at detecting the crescent Moon. The developed program can recognize crescent moon objects, although it is limited to relatively large lunar illumination in the range of greater than 10% to less than 50%. Furthermore, our program can be applied in real-time situations.
Author	Malasan, H L Djamal, M Muztaba, R
Author_xml	– sequence: 1 givenname: R surname: Muztaba fullname: Muztaba, R organization: Departement of Atmospheric & Planetary Sciences, Faculty of Science, Institut Teknologi Sumatera , Indonesia – sequence: 2 givenname: H L surname: Malasan fullname: Malasan, H L organization: Department of Astronomy, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung , Indonesia – sequence: 3 givenname: M surname: Djamal fullname: Djamal, M organization: Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung , Indonesia
BookMark	eNqFkF1LwzAUhoNMcJv-BgPeCbVJv5JejvoxZaIw523I0kQzuqQm6YX_3pbKRBDMzQmc5z0vPDMwMdZIAM4xusKI0hiTLImKvCzihKRZjGOEE4TIEZgeNpPDn9ITMPN-h1DaPzIFzQKuZaOiyhofXCeCtgZaBRddsHsetICVk15IE-C1DHLcb7w2b3DJuYsq7gWvJawa7r1WWjrITQ3XXdtaF-Brn7AOPnLxro08BceKN16efc852NzevFTLaPV0d18tVpFISEYiTjElSVmqgiNSc16irUAZFULglKi63gpaq5wWA9eXi22eSZXUWKkyQ4iX6RxcjHdbZz866QPb2c6ZvpKlKM1xXuCS9hQZKeGs904q1jq95-6TYcQGtWyQxgaBbFDLMBvV9snLMalt-3P64bla_wZZW6seTv-A_6v4AlXFi3g
Cites_doi	10.1093/mnras/stw2672 10.1016/S1000-9361(08)60103-X 10.1093/mnras/stt1458 10.1007/s11038-014-9449-3 10.1016/j.ascom.2018.09.004 10.1109/TIP.2003.819861 10.1093/mnras/stv632
ContentType	Journal Article
Copyright	Published under licence by IOP Publishing Ltd Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: Published under licence by IOP Publishing Ltd – notice: Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	O3W TSCCA AAYXX CITATION 8FD 8FE 8FG ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO H8D HCIFZ L7M P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS
DOI	10.1088/1742-6596/2734/1/012007
DatabaseName	Institute of Physics Open Access Journal Titles IOPscience (Open Access) CrossRef Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea Aerospace Database SciTech Premium Collection Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Proquest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China
DatabaseTitle	CrossRef Publicly Available Content Database Advanced Technologies & Aerospace Collection Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic Advanced Technologies Database with Aerospace ProQuest One Academic (New)
DatabaseTitleList	Publicly Available Content Database CrossRef
Database_xml	– sequence: 1 dbid: O3W name: Institute of Physics Open Access Journals (Activated by CARLI) url: http://iopscience.iop.org/ sourceTypes: Enrichment Source Publisher – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Physics
EISSN	1742-6596
ExternalDocumentID	10_1088_1742_6596_2734_1_012007 JPCS_2734_1_012007
GroupedDBID	1JI 29L 2WC 4.4 5B3 5GY 5PX 5VS 7.Q AAJIO AAJKP ABHWH ACAFW ACHIP AEFHF AEJGL AFKRA AFYNE AIYBF AKPSB ALMA_UNASSIGNED_HOLDINGS ARAPS ASPBG ATQHT AVWKF AZFZN BENPR BGLVJ CCPQU CEBXE CJUJL CRLBU CS3 DU5 E3Z EBS EDWGO EQZZN F5P FRP GROUPED_DOAJ GX1 HCIFZ HH5 IJHAN IOP IZVLO J9A KNG KQ8 LAP N5L N9A O3W OK1 P2P PIMPY PJBAE RIN RNS RO9 ROL SY9 T37 TR2 TSCCA UCJ W28 XSB ~02 AAYXX AEINN AFFHD CITATION OVT PHGZM PHGZT PQGLB 8FD 8FE 8FG ABUWG AZQEC DWQXO H8D L7M P62 PKEHL PQEST PQQKQ PQUKI PRINS
ID	FETCH-LOGICAL-c2747-a8187299f6a07daa90bc048ccc137fddbc8df586a818cadcb54ef2d1ff9400a93
IEDL.DBID	P5Z
ISSN	1742-6588
IngestDate	Fri Jul 25 04:17:43 EDT 2025 Sat Nov 29 03:44:53 EST 2025 Tue Aug 20 22:16:41 EDT 2024 Sun Aug 18 16:30:26 EDT 2024
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Language	English
License	Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c2747-a8187299f6a07daa90bc048ccc137fddbc8df586a818cadcb54ef2d1ff9400a93
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
OpenAccessLink	https://www.proquest.com/docview/3035156198?pq-origsite=%requestingapplication%
PQID	3035156198
PQPubID	4998668
PageCount	8
ParticipantIDs	crossref_primary_10_1088_1742_6596_2734_1_012007 proquest_journals_3035156198 iop_journals_10_1088_1742_6596_2734_1_012007
PublicationCentury	2000
PublicationDate	20240301
PublicationDateYYYYMMDD	2024-03-01
PublicationDate_xml	– month: 03 year: 2024 text: 20240301 day: 01
PublicationDecade	2020
PublicationPlace	Bristol
PublicationPlace_xml	– name: Bristol
PublicationTitle	Journal of physics. Conference series
PublicationTitleAlternate	J. Phys.: Conf. Ser
PublicationYear	2024
Publisher	IOP Publishing
Publisher_xml	– name: IOP Publishing
References	Kaehler (JPCS_2734_1_012007bib8) 2016 Honda (JPCS_2734_1_012007bib13) 2000 Fatemi (JPCS_2734_1_012007bib2) 2008 Viola (JPCS_2734_1_012007bib16) 2001; 1 Willett (JPCS_2734_1_012007bib9) 2013; 435 González (JPCS_2734_1_012007bib12) 2018; 25 Rezaiee (JPCS_2734_1_012007bib3) 2011 Wang (JPCS_2734_1_012007bib18) 2004; 13 Gonzales (JPCS_2734_1_012007bib1) L Muztaba (JPCS_2734_1_012007bib15) 2022; 2214 Thung (JPCS_2734_1_012007bib19) 2009; 1 Elsässer (JPCS_2734_1_012007bib4) 2010 Meng (JPCS_2734_1_012007bib14) 2009; 22 Cheng (JPCS_2734_1_012007bib17) 2011; 1 Fakhar (JPCS_2734_1_012007bib5) 2014; 114 Pitas (JPCS_2734_1_012007bib6) 2000 Dieleman (JPCS_2734_1_012007bib10) 2015; 450 Bradski (JPCS_2734_1_012007bib7) 2008 Kim (JPCS_2734_1_012007bib11) 2017; 464
References_xml	– year: 2011 ident: JPCS_2734_1_012007bib3 – year: 2008 ident: JPCS_2734_1_012007bib7 – volume: 2214 year: 2022 ident: JPCS_2734_1_012007bib15 publication-title: J. Phys.: Conf. Ser. – year: L ident: JPCS_2734_1_012007bib1 – year: 2010 ident: JPCS_2734_1_012007bib4 – year: 2016 ident: JPCS_2734_1_012007bib8 – volume: 464 start-page: 4463 year: 2017 ident: JPCS_2734_1_012007bib11 publication-title: Monthly Notices of the Royal Astronomical Society doi: 10.1093/mnras/stw2672 – volume: 22 start-page: 301 year: 2009 ident: JPCS_2734_1_012007bib14 publication-title: Chinese Journal of Aeronautics doi: 10.1016/S1000-9361(08)60103-X – volume: 1 start-page: 1430 year: 2011 ident: JPCS_2734_1_012007bib17 publication-title: IEEE International Conference on Systems, Man, and Cybernetics – volume: 435 start-page: 2835 year: 2013 ident: JPCS_2734_1_012007bib9 publication-title: Monthly Notices of the Royal Astronomical Society doi: 10.1093/mnras/stt1458 – year: 2008 ident: JPCS_2734_1_012007bib2 – volume: 114 start-page: 17 year: 2014 ident: JPCS_2734_1_012007bib5 publication-title: Journal of Earth, Moon, and Planets doi: 10.1007/s11038-014-9449-3 – volume: 25 start-page: 103 year: 2018 ident: JPCS_2734_1_012007bib12 publication-title: Astronomy and Computing doi: 10.1016/j.ascom.2018.09.004 – volume: 13 start-page: 600 year: 2004 ident: JPCS_2734_1_012007bib18 publication-title: IEEE transactions on image processing doi: 10.1109/TIP.2003.819861 – year: 2000 ident: JPCS_2734_1_012007bib6 – volume: 1 start-page: 511 year: 2001 ident: JPCS_2734_1_012007bib16 publication-title: IEEE Computer Society Conference on Computer Vision and Pattern Recognition – volume: 450 start-page: 1441 year: 2015 ident: JPCS_2734_1_012007bib10 publication-title: Monthly notices of the royal astronomical society doi: 10.1093/mnras/stv632 – year: 2000 ident: JPCS_2734_1_012007bib13 – volume: 1 start-page: 1 year: 2009 ident: JPCS_2734_1_012007bib19 publication-title: IEEE International conference for technical postgraduates
SSID	ssj0033337
Score	2.3562543
Snippet	Developing an automatic detection method based on computer vision applied to the moon crescent is an innovative concept that can be further developed. This...
SourceID	proquest crossref iop
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	12007
SubjectTerms	Algorithms Automatic Detection Cascade Classifier Classifiers Computer Vision Crescent Moon Moon Object recognition Support vector machines
SummonAdditionalLinks	– databaseName: Institute of Physics Open Access Journal Titles dbid: O3W link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1ZSwMxEA5aFXzxFqtVAvpobLfZI_tYqqUIVqEefQvZHFAou6Vb_f1Okl2kiIjgPi3sZBO-HDNhZr5B6CpKVKKVMcQSyZDQUEUyEykCe1LHoU1-FMIVm0hGIzaZpCu5MMW8Ovpv4NUTBXsIq4A41gYbukviKI3blpqlHbRt_qdNKN-gDLQ5rOlH-lafxhSexCdF2kaM1TFeP_9oRUOtwyi-HdNO9wx2_2PUe2insjxxz7fYR2s6P0BbLgJUlodo1sNjPTPEVvCsOWVxYXDvfVk4WlfcX3jqJ3yrl9p_dwEHeCjEgvRFaUPtsauyOTWgbbHIFbZVQ8HCx6_OO4AfXOymPkIvg7vn_pBUpRiItNdWIkCvgxmemlh0EiVE2skk7H0pZUATo1QmmTIRi60cdCazKNSmqwJjbOF1kdJj1MiLXJ8gHKRhlgaUxSFcxYIwE2GkpE4kzYQQIZVN1Knh53PPuMGdp5wxbkHkFkRuQeQB9yA20TXAzqvdV_4ufrkifv_UH69K8LkyTdSqZ_1LlFrHK5icKTv9W59naLsL5pCPXmuhBkykPkeb8mM5LRcXbsl-AvNo5ME priority: 102 providerName: IOP Publishing
Title	A Self-Construction of Automatic Crescent Detection Using Haar-Cascade Classifier and Support Vector Machine
URI	https://iopscience.iop.org/article/10.1088/1742-6596/2734/1/012007 https://www.proquest.com/docview/3035156198
Volume	2734
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIOP databaseName: Institute of Physics Open Access Journals (Activated by CARLI) customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: O3W dateStart: 20040101 isFulltext: true titleUrlDefault: http://iopscience.iop.org/ providerName: IOP Publishing – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: P5Z dateStart: 20040801 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: BENPR dateStart: 20040801 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1742-6596 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0033337 issn: 1742-6588 databaseCode: PIMPY dateStart: 20040801 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ZT-MwEB5R2JV44VgWUY7KEjxitalzPqFSQAWpJYLl2H2xHB9SpaopTeH343ESsQgJHsijPVKifPbM2HN8AEdBpCKtjKHYSIb6himamUBRuyd16GPxoxCObCIajeLHxyStLtyKKq2y1olOUatc4h15m2HIyxr7JD6ZPVFkjcLoakWh0YAV7JKA1A1p8K_WxMw-UVkQ2aXW0sZ1fpc99FVjSdjG_i5tr41FpMgp-591aozz2QcV7ezOxfp3v3gD1iqPk_TKJbIJS3r6C366zE9ZbMGkR271xFBk7qx7yZLckN7zInftXEl_XrZ8Imd6oct5l2hABkLMaV8UmGJPHLvm2FgrS8RUEWQLtZ49uXdRATJ0OZv6N9xdnP_pD2hFwUAlHlepsPbcut-JCUUnUkIknUzaPS-l9FhklMpkrEwQhyhnXyazwNemqzxjkHBdJGwblqf5VO8A8RI_SzwWh749gnl-JvxASR1JlgkhfCab0Kl_PZ-VnTa4i5DHMUe0OKLFES3u8RKtJhxbiHi164qvxQ_fiV-l_dv3EnymTBP2azjfRN-w3P18eg9Wu9btKbPU9mHZAqcP4Id8WYyLeQtWTs9H6U0LGtfsoeUWqx1LL4fp31daA-vt
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VFASXlqdIH7AScGOV2F6_DghFaauENlGkFlRO2_U-pEhVHOJAxZ_iNzKztlUqJHrqAR_tudj77Ty838wH8DZOTWqNc5wGyXDhIsMLFxuOe9ImgpoflfJiE-l0mp2f57MN-NX2whCtsvWJ3lGbUtM_8l5ER14Y7PPs4_IbJ9UoOl1tJTRqWBzbn1dYslUfxge4vu_C8OjwbDjijaoA11SBcYUhCjPK3CWqnxql8n6hEcZa6yBKnTGFzoyLs4TstDK6iIV1oQmcIw1xRcOX0OVvCgJ7BzZn48nsa-v7I7zSugUz5Bjbs5ZRhmVmcy9PejRRphf0qG2VVGz_iIf35uXyr6DgI93R9v_2jR7DVpNTs0G9CZ7Ahl08hQee26qrZ3A5YKf20nHSJm2n5bLSscH3dekH1rLhqh5qxQ7s2tbPPZWCjZRa8aGqqImAef3QucM8gqmFYaSHirUL--LPPdjEs1Ltc_h8J6_6AjqLcmFfAgtyUeRBlCUCi8xAFErERttUR4VSSkS6C_12qeWyniUiPQcgyyShQxI6JKFDBrJGRxfeIyRk41eq283f3DD_NBue3rSQS-O6sNfC59r0Gjs7_378Gh6OziYn8mQ8Pd6FRyEmeTUnbw86uIh2H-7rH-t5tXrVbA4GF3eNtd9LMEh7
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3rTxsxDLeAbYgve4IoY1uk7ePC9Zp75D5WhYrx6CqxB9-iXB4SEmqrtvD3Yyd3oAqhCWn36aRzLpGd2I5s_wzwLS9t6az3nIBkeOaF5bXPLccz6YqMih-1Ds0mytFIXl5W4zUY3tfCTGeN6j_A1wgUHFnYJMTJBH3oHi_yqkgImiVJE6r_7JbJzPp1eEFwJbS7f4q_rUYW-JSxMJIGStnmeT39sxUrtY4reaSqg_0ZvvlfK38LrxsPlPXjqHew5ibv4VXIBDWLD3DdZxfu2nPq5Nliy7KpZ_2b5TTAu7LBPEJAsUO3dPF7SDxgx1rP-UAvKOWehW6bVx6tLtMTy6h7KHr67E-IErDzkMPptuH38OjX4Jg3LRm4oesr12jf0R2vfKG7pdW66tYGdYAxJhWlt7Y20vpcFkSHk5k6z5zv2dR7asCuK7EDG5PpxO0CS6usrlIhiwyvZGlW6yy3xpVG1FrrTJgOdFsRqFlE3lAhYi6lIkYqYqQiRqpURUZ24DuyXjWncPFv8q8r5CfjwcUqhULJdGC_lfwDqaAALLqeldx73pxfYHN8OFRnP0anH2Grhx5STGjbhw2UqfsEL83t8mox_xx28B2IIuop
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Self-Construction+of+Automatic+Crescent+Detection+Using+Haar-Cascade+Classifier+and+Support+Vector+Machine&rft.jtitle=Journal+of+physics.+Conference+series&rft.au=Muztaba%2C+R&rft.au=Malasan%2C+H+L&rft.au=Djamal%2C+M&rft.date=2024-03-01&rft.pub=IOP+Publishing&rft.issn=1742-6588&rft.eissn=1742-6596&rft.volume=2734&rft.issue=1&rft.spage=012007&rft_id=info:doi/10.1088%2F1742-6596%2F2734%2F1%2F012007
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-6588&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-6588&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-6588&client=summon