Scale Space Theory is a framework for Multi-scale signal representation, which is essential in Image Processing and Computer Vision for Analyzing structures at Different scales. It allows for the construction of a Continuous scale parameter that aids in discerning Relevant features without assuming a Nominal scale of analysis.