Investigation of Fuzzy Connectedness Based Image Segmentation

Language: English

Published by LAP LAMBERT Academic Publishing, 2019

6202006897 / 9786202006897

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9786202006897

Title
Investigation of Fuzzy Connectedness Based Image Segmentation
Author
Hassan Ayad
Publisher
LAP LAMBERT Academic Publishing
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202006897
ISBN 13
9786202006897
Item weight
215 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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