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).
