Investigation of Fuzzy Connectedness Based Image Segmentation - Couverture souple

Farag, Tamer Hashem; Ayad, Hassan

Couverture souple

ISBN 10 : 6202006897 ISBN 13 : 9786202006897

Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

Image segmentation is the process of dividing an image into meaningful objects. Fuzzy connectedness (FC) based methods usually give robust segmentation results. However, most of these methods suffer from the weakness of "leaking through poorly defined boundary segments". One of these methods is the absolute or generalized fuzzy connectivity (GFC) method which has an additional weakness about determining the optimal threshold of the fuzzy connectedness scene. This threshold is usually selected manually rather than being automated. In this proposal, we introduce an algorithm based on GFC method that utilizes both fuzzy connectedness- and boundary-based information inheriting the strength qualities of them both, since they depend on different characteristics, in order to alleviate the previous weaknesses. This algorithm uses an affinity of FC that utilizes both region and boundary-based information. Moreover, it proposes an automatic selection procedure of the threshold parameter. An experiment is performed to quantitatively evaluate the proposed algorithm over a simulated data set of scenes.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 6202006897
• ISBN 13: 9786202006897
• Reliure: Broché
• Nombre de pages: 132
• Éditeur: Hassan Walaa
• Coordonnées du fabricant: non disponible
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