Binary Morphology: Understanding the Fundamentals

  Binary morphological operations form the backbone of many image processing applications. These techniques allow us to manipulate shapes within images, extract important features, and prepare images for further analysis. In this blog post, we’ll explore the core concepts of binary morphology and understand how they can be applied to solve real-world image processing problems. Introduction to Morphology Morphology, originally a branch of biology dealing with the form and structure of organisms, has found its way into image processing. In the context of image analysis, morphological image processing refers to operations that extract components for representation and description of region shapes, such as boundaries, skeletons, and convex hulls. Morphological transformations are primarily performed on binary images (images consisting solely of black and white pixels). These operations require two inputs: The original image A structuring element (kernel) that determines the precise nat...