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- Title
A Novel Image Artifact Removal Scheme for Phase Percent Quantification of Dual-Phase Steel Microstructures.
- Authors
Dutta, Tanusree; Das, Debdulal; Banerjee, Siddhartha; Saha, Sanjoy Kumar; Datta, Shubhabrata
- Abstract
The current study is focused on a novel methodology that removes the artifacts after automated segmentation of micrographs using some efficient image processing techniques from three dual-phase (DP) steel microstructures with varying martensite morphologies (islands, blocky and banded, and fine and fibrous martensite). Microstructures of DP steel consisting of martensite and ferrite phases were binarized by the Otsu thresholding algorithm, where the threshold value is automatically selected from the gray-level histogram. Subsequently, the artifact is removed by different modes, such as horizontally, vertically, and diagonal traverse manners, separately and in the combinations of all possible traverse manners, through AND operation. Optical micrographs were chosen for image analysis since the low-cost optical microscope is easily portable and effortlessly usable over a large area. The results have been validated with AxioVision commercial metallographic image analyzing software. The proposed scheme has successfully produced artifact-free binarized images of DP steel microstructures. Artifact-free microstructures provide the best quantification result, like the volume percent of the phases.
- Subjects
MICROSTRUCTURE; DUAL-phase steel; MARTENSITE; OPTICAL microscopes; IMAGE analysis; IMAGE processing; THRESHOLDING algorithms; IMAGE segmentation
- Publication
JOM: The Journal of The Minerals, Metals & Materials Society (TMS), 2024, Vol 76, Issue 6, p2970
- ISSN
1047-4838
- Publication type
Article
- DOI
10.1007/s11837-023-06180-z