A Relation between a Similarity Parameter, the Asplund Distance and Discrete Distance Maps
Frédérique Robert‐Inacio · 2007
In pattern recognition, shape classification plays a very important role as it enables to gather shapes in different families, each family characterized by a set of common features such as elongation, symmetry, circularity and so on. In this context, we present a similarity parameter directly linked to the Asplund distance between shapes. This parameter estimates the degree of similarity between two shapes and can be implemented by using discrete distance maps in some particular cases.