Material Image Segmentation with the Machine Learning Method and Complex Network Method

Author:

Lai Chuanbin,Song Leilei,Han Yuexing,Li Qian,Gu Hui,Wang Bing,Qian Quan,Chen Wei

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference16 articles.

1. Chen Y, Chen J. A watershed segmentation algorithm based on ridge detection and rapid region merging. in: Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on, IEEE, 2014:420 424.

2. Liu J, Chen J. An improved iterative watershed according to ridge detection for segmentation of metallographic image. Metallographic Image, 2012:8.

3. Albuquerque D, Victor H C, Joªo Manuel R S, Cortez P C, Quantification of the microstructures of hypoeutectic white cast iron using mathematical morphology and an artificial neural network. Inter- national Journal of Microstructure and Materials Properties, 2010, 5(1):52–64.

4. He W N, Zhang L L, Study on artificial neuronal networks applied on microstructure segmentation from metallographic images. Electronic Design Engineering, 2013, 3:49.

5. Azimi S M, Britz D, Engstler M, Fritz M, Mucklich F. Advanced Steel Microstructural Classification by Deep Learning Methods, Scientific reports, 2018, 8(1).

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