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An open-source digital image correlation software system
Thesis (MEng)--Stellenbosch University, 2024.
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| Other Authors: | |
| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University
2024
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| _version_ | 1867613927053983744 |
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| access_status_str | Open Access |
| author | Brisley, J. E. |
| author2 | Venter, G. |
| author_browse | Brisley, J. E. Venter, G. |
| author_facet | Venter, G. Brisley, J. E. |
| author_sort | Brisley, J. E. |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/130439 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:43:54.909Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/130439 An open-source digital image correlation software system Brisley, J. E. Venter, G. Conradie, P. D. F. Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. Digital image correlation Metrology Python (Computer program language) Computer vision UCTD Thesis (MEng)--Stellenbosch University, 2024. ENGLISH ABSTRACT:Digital Image Correlation (DIC) is a popular computer vision-based optical measurement technique typically used for material characterisation and load response tests. In this project, an open source software system in Python is developed for full-field DIC measurements. An overview of the numerical implementations underpinning local and global planar-DIC solvers for displacement measurements is provided. It is shown that the planar-DIC implementations accurately recover complex, sub-pixel level displacements, by testing the software on the synthetic image sets made available for the DIC challenge 2.0. The local-DIC implementation achieves metrological performance on par with the benchmark, while the global counterpart achieves metrological performance in the mid-range of the codes participating in the challenge. Strain filters implementing a Gaussian smoothing scheme and linear polynomial fit, respectively, to subsequently filter the displacement data are shown to achieve metrological performance on par with the benchmarks. Stereo-DIC combines the independent planar measurements from two cameras in a triangulation routine to estimate a depth component, and thus 3D fullfield displacement data. The stereo-DIC implementation is validated against displacements as set by a secondary measurement system, namely, high-precision optical translation stages. Additionally, the quantification of measurement uncertainty in stereo-DIC measurements is explored. A tensile test case study is performed to illustrate the influence of different user-defined software settings on the resolution characteristics of the full-field displacement and strain measurements obtained by stereo-DIC. AFRIKAANSE OPSOMMING: Digitale Beeld Korrelasie (DIC) is ’n gewilde rekenaarvisie-gebaseerde optiese meet tegniek wat tipies gebruik word vir materiaal karakterisering en belasting toetse. In hierdie projek is ’n oopbron DIC sagtewarestelsel ontwikkel in Python vir veplasing en vervorming metings met DIC. ’n Oorsig van die numeriese implementering vir plaaslike en globale 2DDIC metings word verskaf. Dit word aangetoon dat die 2D-DIC implementering komplekse, sub-piksel verplasings met hoë akkuraatheid kan meet, deur die sagteware te toets met sintetiese beelde wat beskikbaar gestel word in die DIC uitdaging 2.0. Die plaaslike-DIC implementering behaal meet akkuraatheid soortgelyk aan die top presterende kodes. Die globale implementering presteer op die middelvlak van al die deelnemers. Dit word aangetoon dat die vervormingsfilters wat: (i) ’n Gaussian gewig skema; en (ii) ’n lineêre polinoom passing gebruik, vervormings kan meet met akkuraatheid soortgelyk aan die toppresterende kodes. Stereo-DIC kombineer die onafhanklike 2D metings van twee kameras in ’n diepte-skatting proses, wat lei tot 3D verplasing metings. Die stereo-DIC implementering validasie behels ’n kwantitatiewe vergelyking met die verplasings soos bepaal deur hoë-akkuraatheid optiese skuiftafels. ’n Studie rakende die kwantifisering van onsekerheid in DIC metings is oorweeg. ’n Trektoets gevallestudie word uitgevoer om die invloed van verskillende sagetware instellings, bepaal deur die gebruiker, se invloed op die meetakkuraatheid te ondersoek. Masters 2024-02-26T11:28:39Z 2024-04-26T17:39:08Z 2024-02-26T11:28:39Z 2024-04-26T17:39:08Z 2024-02 Thesis https://scholar.sun.ac.za/handle/10019.1/130439 en_ZA en_ZA Stellenbosch University xii, 102 pages : illustrations. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Digital image correlation Metrology Python (Computer program language) Computer vision UCTD Brisley, J. E. An open-source digital image correlation software system |
| title | An open-source digital image correlation software system |
| title_full | An open-source digital image correlation software system |
| title_fullStr | An open-source digital image correlation software system |
| title_full_unstemmed | An open-source digital image correlation software system |
| title_short | An open-source digital image correlation software system |
| title_sort | open source digital image correlation software system |
| topic | Digital image correlation Metrology Python (Computer program language) Computer vision UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/130439 |
| work_keys_str_mv | AT brisleyje anopensourcedigitalimagecorrelationsoftwaresystem AT brisleyje opensourcedigitalimagecorrelationsoftwaresystem |