TY - JOUR
T1 - Primary al grain size measurement of AlSi hypo-Eutectic alloy using mathematical morphology algorithms
AU - Xu, Yan
AU - Hirata, Naoya
AU - Anzai, Koichi
N1 - Funding Information:
The author would like to thank the financial support from China Scholarship Council.
Publisher Copyright:
© 2018 The Japan Institute of Metals and Materials.
PY - 2018
Y1 - 2018
N2 - Homogeneous distribution of primary Al phase grain (hereafter, primary Al grain) size in an AlSi alloy casting is desirable. Traditional image processing techniques found difficulties in making proper image segmentation for the individual primary Al grains. Recently, a new image processing technique, mathematical morphology, is paid attention to because of its capability for a flexible image processing. In this paper, an image processing method based on mathematical morphology algorithms was proposed for the appropriate image segmentation and measurement of primary Al grain size in aluminum alloys. Opening algorithm was applied to identify primary Al grains and Watershed transformation (WST) using Euclidean distance map (EDM) as marker-image was used to separate individual primary Al grains. Finally, a second implementation of WST was used to classify the isolated small primary Al grains that had not been individually identified in the first time WST. The results showed that the proposed method appropriately identified primary Al grains with enough quality to evaluate the size distribution. The quality of primary Al grain size measurement result was as high as human operations. Meanwhile, the proposed method also was more efficient than the subjective measurement by hands.
AB - Homogeneous distribution of primary Al phase grain (hereafter, primary Al grain) size in an AlSi alloy casting is desirable. Traditional image processing techniques found difficulties in making proper image segmentation for the individual primary Al grains. Recently, a new image processing technique, mathematical morphology, is paid attention to because of its capability for a flexible image processing. In this paper, an image processing method based on mathematical morphology algorithms was proposed for the appropriate image segmentation and measurement of primary Al grain size in aluminum alloys. Opening algorithm was applied to identify primary Al grains and Watershed transformation (WST) using Euclidean distance map (EDM) as marker-image was used to separate individual primary Al grains. Finally, a second implementation of WST was used to classify the isolated small primary Al grains that had not been individually identified in the first time WST. The results showed that the proposed method appropriately identified primary Al grains with enough quality to evaluate the size distribution. The quality of primary Al grain size measurement result was as high as human operations. Meanwhile, the proposed method also was more efficient than the subjective measurement by hands.
KW - AlSi hypoeutectic alloy
KW - Image segmentation
KW - Mathematical morphology
KW - Primary Al grain size measurement
KW - Semi-solid slurry
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U2 - 10.2320/matertrans.M2018076
DO - 10.2320/matertrans.M2018076
M3 - Article
AN - SCOPUS:85051008191
VL - 59
SP - 1288
EP - 1295
JO - Materials Transactions
JF - Materials Transactions
SN - 1345-9678
IS - 8
ER -