Application of the gradient-based watershed algorithm in M/A constituent identification

被引：0
|
作者：
HAO Yingmin [1 ]
LIANG Xiaojun [1 ]
XING Zhao [1 ]
机构：
[1] Research Institute,Baoshan Iron & Steel Co.,Ltd.
来源：
Baosteel Technical Research | 2022年 / 02期
关键词：
D O I：
暂无
中图分类号：
TG142.15 [];
学科分类号：
080502 ;
摘要：
This paper reports the quantitative study of martensite/austenite(M/A) constituents in high-grade heavy steel plates using the gradient-based watershed algorithm.Compared with several other image segmentation algorithms, the gradient-based watershed algorithm can effectively remove noises in images with various qualities and identify M/A constituents.The results prove that the gradient-based watershed algorithm is an effective method that can be used to digitize microstructures and integrate the data into Process Intelligent Data Application System(PIDAS).
引用
收藏
页码：17 / 22
页数：6
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