Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yulian Chen, Wanbo Liu, Yonghong Zhi
2018 Symmetry  
Quantitative analysis through image processing is a key step to gain information regarding the microstructure of materials. In this paper, we develop a deep learning-based method to address the task of image segmentation for microscopic images using an Al-La alloy. Our work makes three key contributions. (1) We train a deep convolutional neural network based on DeepLab to achieve image segmentation and have significant results. (2) We adopt a local processing method based on symmetric
more » ... symmetric overlap-tile strategy which makes it possible to analyze the microscopic images with high resolution. Additionally, it achieves seamless segmentation. (3) We apply symmetric rectification to enhance the accuracy of results with 3D information. Experimental results showed that our method outperforms existing segmentation methods.
doi:10.3390/sym10040107 fatcat:yukdgonkxbemxpkytajll7ju3q