A Full-Domain Group Microcircular Hole Roundness Quality Detection Method Utilizing Image Stitching and Combined Evaluation Article Swipe
Haima Yang
,
Hongxin Huang
,
Xiaotian Xiao
,
Jin Liu
,
Jun Li
,
Zhenjie Cao
,
Dawei Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4916270
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4916270
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://doi.org/10.2139/ssrn.4916270
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401330754
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401330754Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.4916270Digital Object Identifier
- Title
-
A Full-Domain Group Microcircular Hole Roundness Quality Detection Method Utilizing Image Stitching and Combined EvaluationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Haima Yang, Hongxin Huang, Xiaotian Xiao, Jin Liu, Jun Li, Zhenjie Cao, Dawei ZhangList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.4916270Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.4916270Direct OA link when available
- Concepts
-
Image stitching, Roundness (object), Group (periodic table), Computer vision, Computer science, Artificial intelligence, Image quality, Domain (mathematical analysis), Quality (philosophy), Image (mathematics), Mathematics, Physics, Geometry, Mathematical analysis, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4401330754 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.4916270 |
| ids.doi | https://doi.org/10.2139/ssrn.4916270 |
| ids.openalex | https://openalex.org/W4401330754 |
| fwci | 0.0 |
| type | preprint |
| title | A Full-Domain Group Microcircular Hole Roundness Quality Detection Method Utilizing Image Stitching and Combined Evaluation |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12111 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9836000204086304 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2209 |
| topics[0].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[0].display_name | Industrial Vision Systems and Defect Detection |
| topics[1].id | https://openalex.org/T13579 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9175000190734863 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Image and Video Stabilization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C29081049 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9702743291854858 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1364242 |
| concepts[0].display_name | Image stitching |
| concepts[1].id | https://openalex.org/C14190554 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7749674320220947 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2496761 |
| concepts[1].display_name | Roundness (object) |
| concepts[2].id | https://openalex.org/C2781311116 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5505785942077637 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q83306 |
| concepts[2].display_name | Group (periodic table) |
| concepts[3].id | https://openalex.org/C31972630 |
| concepts[3].level | 1 |
| concepts[3].score | 0.4955388307571411 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[3].display_name | Computer vision |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.47875991463661194 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4673735499382019 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C55020928 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4673699736595154 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3813865 |
| concepts[6].display_name | Image quality |
| concepts[7].id | https://openalex.org/C36503486 |
| concepts[7].level | 2 |
| concepts[7].score | 0.42251116037368774 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11235244 |
| concepts[7].display_name | Domain (mathematical analysis) |
| concepts[8].id | https://openalex.org/C2779530757 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4114189147949219 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[8].display_name | Quality (philosophy) |
| concepts[9].id | https://openalex.org/C115961682 |
| concepts[9].level | 2 |
| concepts[9].score | 0.3620334565639496 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[9].display_name | Image (mathematics) |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.2956714332103729 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C121332964 |
| concepts[11].level | 0 |
| concepts[11].score | 0.10512176156044006 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[11].display_name | Physics |
| concepts[12].id | https://openalex.org/C2524010 |
| concepts[12].level | 1 |
| concepts[12].score | 0.09105470776557922 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[12].display_name | Geometry |
| concepts[13].id | https://openalex.org/C134306372 |
| concepts[13].level | 1 |
| concepts[13].score | 0.07724699378013611 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[13].display_name | Mathematical analysis |
| concepts[14].id | https://openalex.org/C62520636 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[14].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/image-stitching |
| keywords[0].score | 0.9702743291854858 |
| keywords[0].display_name | Image stitching |
| keywords[1].id | https://openalex.org/keywords/roundness |
| keywords[1].score | 0.7749674320220947 |
| keywords[1].display_name | Roundness (object) |
| keywords[2].id | https://openalex.org/keywords/group |
| keywords[2].score | 0.5505785942077637 |
| keywords[2].display_name | Group (periodic table) |
| keywords[3].id | https://openalex.org/keywords/computer-vision |
| keywords[3].score | 0.4955388307571411 |
| keywords[3].display_name | Computer vision |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.47875991463661194 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.4673735499382019 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/image-quality |
| keywords[6].score | 0.4673699736595154 |
| keywords[6].display_name | Image quality |
| keywords[7].id | https://openalex.org/keywords/domain |
| keywords[7].score | 0.42251116037368774 |
| keywords[7].display_name | Domain (mathematical analysis) |
| keywords[8].id | https://openalex.org/keywords/quality |
| keywords[8].score | 0.4114189147949219 |
| keywords[8].display_name | Quality (philosophy) |
| keywords[9].id | https://openalex.org/keywords/image |
| keywords[9].score | 0.3620334565639496 |
| keywords[9].display_name | Image (mathematics) |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.2956714332103729 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/physics |
| keywords[11].score | 0.10512176156044006 |
| keywords[11].display_name | Physics |
| keywords[12].id | https://openalex.org/keywords/geometry |
| keywords[12].score | 0.09105470776557922 |
| keywords[12].display_name | Geometry |
| keywords[13].id | https://openalex.org/keywords/mathematical-analysis |
| keywords[13].score | 0.07724699378013611 |
| keywords[13].display_name | Mathematical analysis |
| language | en |
| locations[0].id | doi:10.2139/ssrn.4916270 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://doi.org/10.2139/ssrn.4916270 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5042290525 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Haima Yang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Haima Yang |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5103414091 |
| authorships[1].author.orcid | https://orcid.org/0009-0006-8313-585X |
| authorships[1].author.display_name | Hongxin Huang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Hongxin Huang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5093650007 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Xiaotian Xiao |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xiaotian Xiao |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5100327072 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-0359-0248 |
| authorships[3].author.display_name | Jin Liu |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jin Liu |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5073186959 |
| authorships[4].author.orcid | https://orcid.org/0009-0004-8938-9055 |
| authorships[4].author.display_name | Jun Li |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jun Li |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5101198327 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-9250-4040 |
| authorships[5].author.display_name | Zhenjie Cao |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Zhenjie Cao |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5110230331 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-2434-7725 |
| authorships[6].author.display_name | Dawei Zhang |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Dawei Zhang |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://doi.org/10.2139/ssrn.4916270 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Full-Domain Group Microcircular Hole Roundness Quality Detection Method Utilizing Image Stitching and Combined Evaluation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12111 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9836000204086304 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2209 |
| primary_topic.subfield.display_name | Industrial and Manufacturing Engineering |
| primary_topic.display_name | Industrial Vision Systems and Defect Detection |
| related_works | https://openalex.org/W68020613, https://openalex.org/W1973382465, https://openalex.org/W2091466534, https://openalex.org/W4255291540, https://openalex.org/W3134240150, https://openalex.org/W4392793652, https://openalex.org/W4387591196, https://openalex.org/W4399199700, https://openalex.org/W172825421, https://openalex.org/W2770972387 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.4916270 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://doi.org/10.2139/ssrn.4916270 |
| primary_location.id | doi:10.2139/ssrn.4916270 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://doi.org/10.2139/ssrn.4916270 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.19351223 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |