A Gray Level Co-occurrence Matrix (GLCM) is a statistical method used in image processing to examine the texture of an image by considering the spatial relationship of pixels. It quantifies how often pairs of pixel with specific values and in a specified spatial relationship occur in an image, providing insights into the texture and patterns present.

Gray Level Co-occurrence Matrix

Statistical methods are a collection of mathematical techniques used to analyze and interpret data, helping to make informed decisions based on empirical evidence. They encompass a range of procedures, including data collection, analysis, interpretation, and presentation, enabling researchers to draw valid conclusions and predictions from data samples.

statistical method

Image processing involves the manipulation and analysis of digital images to enhance their quality or extract valuable information. It is a crucial technology in fields like computer vision, medical imaging, and remote sensing, enabling advanced applications such as facial recognition, object detection, and image restoration.

CUSTOMIZE YOUR LEARNING

CUSTOMIZE YOUR LEARNING

Relevant Fields: