id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-29943	Zhao, Junjie	Pore and Fracture Features Based on CT Scanning: A Case Study from The Pingdingshan Coalfield	2025	8	.pdf	application/pdf	3500	189	55	For coal sample SS21, fractures with apertures ranging from 0 to 100 µm contribute the largest volume, accounting for 35.9%; for coal sample SK21, fractures with apertures ranging from 0 to 100 µm also contribute the largest volume, accounting for 34.09%; for coal sample SK42, fractures with apertures ranging from 0 to 100 µm contribute the largest volume, accounting for 35.47%. Comparative analysis revealed that the NLM-filtered image (Fig. 5c) achieved the best performance: the original black spots were eliminated, and the boundaries between coal fractures and the matrix became more natural and distinct910, facilitating subsequent image segmentation and feature extraction tasks Figure 5.	cache/ajst-29943.pdf	txt/ajst-29943.txt