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Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone
Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone
Summary
Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone is a scholarly article[1].
Key Facts
Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-automatic-segmentation-of-petrographic-thin-section-images-using-a-seeded-region-growing-algorithm-with-an-applicat
MLA“Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-automatic-segmentation-of-petrographic-thin-section-images-using-a-seeded-region-growing-algorithm-with-an-applicat.
BibTeX@misc{4ortxyz_semi-automatic-segmentation-of-petrographic-thin-section-images-using-a-seeded-region-growing-algorithm-with-an-applicat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone}}, year = {2026}, url = {https://4ort.xyz/entity/semi-automatic-segmentation-of-petrographic-thin-section-images-using-a-seeded-region-growing-algorithm-with-an-applicat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone — https://4ort.xyz/entity/semi-automatic-segmentation-of-petrographic-thin-section-images-using-a-seeded-region-growing-algorithm-with-an-applicat (retrieved 2026-05-24)