Image processing methods for segmentation of microscopic pictures of the mgca alloys

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Image processing methods for segmentation of microscopic pictures of the mgca alloys

Lukasz Rauch, Krzysztof Bzowski

AGH – University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.

DOI:

https://doi.org/10.7494/cmms.2011.2.0353

Abstract:

The paper addresses the problem of image processing of MgCa alloys microstructures. The main objective of the paper is focused on segmentation of images obtained from optical microscope. For this purpose three methods were selected, which offers high reliability in application to noised and highly diversified pictures. These approaches are based on Voronoi tessellation, superpixel regions and multi-filter thresholding with the Bresenham algorithm. The paper contains detailed description of the methods as well as comparison of obtained results.

Cite as:

Rauch, L., & Bzowski, K. (2011). Image processing methods for segmentation of microscopic pictures of the mgca alloys. Computer Methods in Materials Science, 11(2), 350 – 356. https://doi.org/10.7494/cmms.2011.2.0353

Article (PDF):

Keywords:

Image processing, Segmentation, Digital material representation

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