Image segmentation is an important issue in many industrial processes, with high potential
to enhance the manufacturing process derived from raw material imaging. For example …

Automatic segmentation of key region shapes from material microstructure images is one of
the primary steps to count material phase data and mine material properties. With the rapid …

Metallography is crucial for a proper assessment of material properties. It mainly involves
investigating the spatial distribution of grains and the occurrence and characteristics of …

Materials properties depend not only on their compositions but also their microstructures
under various processing conditions. So far, the analyses of complex microstructure images …

Segmentation of microscopy images is an essential step in most experimental studies of
process–structure–property relationships in advanced materials. Currently employed …

Recognizing and segmenting complex texture images such as materials is of great
significance to industrial design and production. Due to the lack of sufficient training samples …

With the development and integration of multiple disciplines, the integration of computer
vision and materials science has greatly changed the original materials research methods …

We propose an unsupervised segmentation method based on simple non-iterative
clustering (SNIC) and adaptive density-based spatial clustering of applications with noise …

As a detection tool to identify metal or alloy, metallographic quantitative analysis has
received increasing attention for its ability to evaluate quality control and reveal mechanical …

As the basis of medical image processing, edge detection technology can extract many
valuable diagnostic information contained in the image, which helps to improve the …