We propose a new approach of the image segmentation methods. This approach is based on a functional model composed of five elementary blocks called in an iterative process. Different segmentation methods can be decomposed with such a scheme and lead to elementary building blocks with unified functionality and interfaces. We present the decompositions of three segmentation methods and the implementation results, which illustrate the potential of the proposed model. This generic model is a common framework, which makes segmentation techniques more readable and offers new perspectives for the development, the comparison and the implementation of segmentation methods.
A clustering fuzzy approach for image segmentation.
LOMBARDI, LUCA
2004-01-01
Abstract
We propose a new approach of the image segmentation methods. This approach is based on a functional model composed of five elementary blocks called in an iterative process. Different segmentation methods can be decomposed with such a scheme and lead to elementary building blocks with unified functionality and interfaces. We present the decompositions of three segmentation methods and the implementation results, which illustrate the potential of the proposed model. This generic model is a common framework, which makes segmentation techniques more readable and offers new perspectives for the development, the comparison and the implementation of segmentation methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
