DocumentCode :
1873580
Title :
An automated segmentation for nickel-based superalloy
Author :
Chuang, Hsiao-Chiang ; Huffman, Landis M. ; Comer, Mary L. ; Simmons, Jeff P. ; Pollak, Ilya
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2280
Lastpage :
2283
Abstract :
We investigate the automated segmentation of microstructures of a nickel-based superalloy using digital microscopy data. We study the combination of a region merging segmentation method called the stabilized inverse diffusion equation (SIDE), and a stochastic segmentation method, the expectation-maximization/maximization of the posterior marginals (EM/MPM) algorithm. We use the SIDE algorithm to segment the grain boundaries and we use the EM/MPM algorithm to classify two phases of the material within each grain. Experimental results demonstrate the effectiveness of our approach.
Keywords :
crystal microstructure; diffusion; expectation-maximisation algorithm; grain boundaries; image segmentation; nickel alloys; superalloys; NiJkJk; SIDE algorithm; automated segmentation; digital microscopy data; expectation-maximization algorithm; grain boundaries segmentation; maximization of the posterior marginals algorithm; microstructures segmentation; nickel-based superalloy; region merging segmentation; stabilized inverse diffusion equation; stochastic segmentation; Aerospace materials; Computer simulation; Equations; Grain boundaries; Image segmentation; Materials testing; Merging; Microscopy; Microstructure; Stochastic processes; Image segmentation; stochastic image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4712246
Filename :
4712246
Link To Document :
بازگشت