Binary Morphology is a concept in computer science and mathematics that deals with the study of shapes and structures using binary representations. It involves analyzing objects based on their presence or absence in a given space, often using pixels in digital images. This method helps in understanding and processing visual information efficiently. In binary morphology, operations such as dilation and erosion are applied to manipulate shapes. These operations help in tasks like image enhancement, object recognition, and segmentation. By using binary images, which consist of only two colors (typically black and white), researchers can simplify complex visual data for better analysis and interpretation.