DE-XRT coal preparation image overlapping and adhesion particle segmentation method

Abstract

Accurate segmentation of dual-energy X-ray transmission (DE-XRT) coal and gangue image regions are a prerequisite for feature extraction, identification, localization, and separation. A watershed algorithm based on multi-grayscale threshold segmentation (MGTS) is proposed to mark the foreground for the adhesion and overlap of coal and gangue. The grayscale images of foreground objects are segmented using multiple grayscale thresholds, and the number of connected domains is recorded each time. As the gray threshold value decreases, overlapping and adhering objects are gradually separated. The binary image segmented at the grayscale threshold with the most significant number of connected domains is used as a marker region. This marker region is used as the seed point of the watershed algorithm to find the dividing line. The experimental results show that the segmentation accuracy is 91.35%, and the segmentation accuracy of overlapping adhesions of 2, 3, and 4 targets is higher than 90%.

Coal slurry foam image enhancement based on multiscale convolutional network

“…In image processing, the watershed algorithm is often used to segment image edges (He et al, 2022;Sharma et al, 2022;Chowdhury et al, 2023). This algorithm can be understood as rainwater landing on a mountain surface and flowing down the terrain; if the water lands on two different points belonging to the same region, it will eventually flow to the same local nadir and form a segmented region.…”