GLCMs
Gray Level Co-occurrence Matrices, often abbreviated as GLCMs, are a statistical method used in image analysis to explore the spatial relationship of pixels within an image. They quantify the second-order statistics of an image by measuring how often pairs of gray levels occur in specific spatial relationships. A GLCM is essentially a matrix where each entry represents the frequency of a particular pair of gray levels occurring at a specified distance and orientation from each other.
The construction of a GLCM involves defining a kernel or offset, which specifies the relative positions of
GLCMs are widely employed in various image processing applications, including texture analysis, image segmentation, and object