Computer analysis of characteristic elements of fractographic images
| Autor: | L. M. Svirs’ka, Hryhoriy Nykyforchyn, Oleksandra Student, B. P. Rusyn, R. Ya. Kosarevych |
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| Rok vydání: | 2013 |
| Předmět: |
Brightness
Materials science Fragment (computer graphics) business.industry Mechanical Engineering media_common.quotation_subject Pattern recognition Condensed Matter Physics Thresholding Optics Mechanics of Materials Histogram Distortion Fracture (geology) Contrast (vision) General Materials Science Segmentation Artificial intelligence business media_common |
| Zdroj: | Materials Science. 48:474-481 |
| ISSN: | 1573-885X 1068-820X |
| DOI: | 10.1007/s11003-013-9527-0 |
| Popis: | For the quantitative analysis of fractographic images, we have used the method of segmentation of fractographic images by multilevel thresholding. In contrast to known approaches, to decrease the distortion of a segmented image, we took into account common features characteristic of not only its large components, but also small ones, to which low peaks correspond in the histogram of brightness. This has enabled us to separate an image of a fragment of a fracture surface into connected regions and then determine and analyze their quantitative characteristics. |
| Databáze: | OpenAIRE |
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