id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iajs-2894	Kaduhm, Haider S. ; Abduljabbar, Hameed M. 	Studying the Classification of Texture Images by K-Means of Co-Occurrence Matrix and Confusion Matrix	2023	10	.pdf	application/pdf	3209	205	57	In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four angles (0, 45, 90, 135). The Brodatz texture images database was built from the Brodatz album, so it is considered an actual measure for evaluating the algorithms used in the segmentation and classification of texture images because it contains homogeneous and heterogeneous materials in addition to large-scale patterns [3-4].	cache/iajs-2894.pdf	txt/iajs-2894.txt