Automation of intercept method for grain size measurement: A topological skeleton approach
In the microstructure characterization of metallic materials, the intercept method is one of the most widely accepted approaches to determine average grain size due to its simplicity, accuracy, and the ability to handle both equiaxed and non-equiaxed grain structures. However, its manual implementat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522009807 |
| _version_ | 1798006944296861696 |
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| author | Xiang Li Linyi Cui Jikang Li Ying Chen Wei Han Sara Shonkwiler Sara McMains |
| author_facet | Xiang Li Linyi Cui Jikang Li Ying Chen Wei Han Sara Shonkwiler Sara McMains |
| author_sort | Xiang Li |
| collection | DOAJ |
| description | In the microstructure characterization of metallic materials, the intercept method is one of the most widely accepted approaches to determine average grain size due to its simplicity, accuracy, and the ability to handle both equiaxed and non-equiaxed grain structures. However, its manual implementation is relatively time-consuming and error-prone, and the design of automated implementations is challenging due to the requirement of recognizing, classifying, and scoring different types of intersections (between test patterns and grain boundaries) by international standards such as ASTM E112 and EN ISO 643. In this research, a novel algorithm is proposed to automate the intercept method for grain size measurement from microscopic images. Building on topological skeletons, the algorithm is able to extract continuous and closed grain boundaries from the raw image, and determine the average grain size by recognizing and classifying different types of intersections in accordance with international standards. The effectiveness and efficiency of the proposed algorithm is validated on metallographic microscope images from both high-purity iron and stainless steel. Additionally, our algorithm has been extended to automate other standard grain size measurement methods such as the planimetric method and the whole grain area method. |
| first_indexed | 2024-04-11T13:02:28Z |
| format | Article |
| id | doaj.art-2c679aff7f2548eaa31436b51a157723 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-04-11T13:02:28Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-2c679aff7f2548eaa31436b51a1577232022-12-22T04:22:52ZengElsevierMaterials & Design0264-12752022-12-01224111358Automation of intercept method for grain size measurement: A topological skeleton approachXiang Li0Linyi Cui1Jikang Li2Ying Chen3Wei Han4Sara Shonkwiler5Sara McMains6University of California, Berkeley, United StatesThe Hong Kong Polytechnic University, Hong Kong, ChinaChina Iron and Steel Research Institute Group, ChinaChina Iron and Steel Research Institute Group, ChinaChina Iron and Steel Research Institute Group, ChinaUniversity of California, Berkeley, United StatesUniversity of California, Berkeley, United States; Corresponding author.In the microstructure characterization of metallic materials, the intercept method is one of the most widely accepted approaches to determine average grain size due to its simplicity, accuracy, and the ability to handle both equiaxed and non-equiaxed grain structures. However, its manual implementation is relatively time-consuming and error-prone, and the design of automated implementations is challenging due to the requirement of recognizing, classifying, and scoring different types of intersections (between test patterns and grain boundaries) by international standards such as ASTM E112 and EN ISO 643. In this research, a novel algorithm is proposed to automate the intercept method for grain size measurement from microscopic images. Building on topological skeletons, the algorithm is able to extract continuous and closed grain boundaries from the raw image, and determine the average grain size by recognizing and classifying different types of intersections in accordance with international standards. The effectiveness and efficiency of the proposed algorithm is validated on metallographic microscope images from both high-purity iron and stainless steel. Additionally, our algorithm has been extended to automate other standard grain size measurement methods such as the planimetric method and the whole grain area method.http://www.sciencedirect.com/science/article/pii/S0264127522009807Grain size measurementIntercept methodMicrostructure characterizationTopological skeletonImage analysis |
| spellingShingle | Xiang Li Linyi Cui Jikang Li Ying Chen Wei Han Sara Shonkwiler Sara McMains Automation of intercept method for grain size measurement: A topological skeleton approach Materials & Design Grain size measurement Intercept method Microstructure characterization Topological skeleton Image analysis |
| title | Automation of intercept method for grain size measurement: A topological skeleton approach |
| title_full | Automation of intercept method for grain size measurement: A topological skeleton approach |
| title_fullStr | Automation of intercept method for grain size measurement: A topological skeleton approach |
| title_full_unstemmed | Automation of intercept method for grain size measurement: A topological skeleton approach |
| title_short | Automation of intercept method for grain size measurement: A topological skeleton approach |
| title_sort | automation of intercept method for grain size measurement a topological skeleton approach |
| topic | Grain size measurement Intercept method Microstructure characterization Topological skeleton Image analysis |
| url | http://www.sciencedirect.com/science/article/pii/S0264127522009807 |
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