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Titolo: Fuzzy connected object delineation: Axiomatic path strength definition andthe case of multiple seeds
Autore: Saha, PK; Udupa, JK;
 Indirizzi:
 Univ Penn, Dept Radiol, Med Image Proc Grp, Philadelphia, PA 19104 USA Univ Penn Philadelphia PA USA 19104 Proc Grp, Philadelphia, PA 19104 USA
 Titolo Testata:
 COMPUTER VISION AND IMAGE UNDERSTANDING
fascicolo: 3,
volume: 83,
anno: 2001,
pagine: 275  295
 SICI:
 10773142(200109)83:3<275:FCODAP>2.0.ZU;2J
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 IMAGE SEGMENTATION; DIGITALTOPOLOGY; SCLEROSIS; QUANTIFICATION; ALGORITHMS; SYSTEM;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Engineering, Computing & Technology
 Citazioni:
 33
 Recensione:
 Indirizzi per estratti:
 Indirizzo: Saha, PK Univ Penn, Dept Radiol, Med Image Proc Grp, Philadelphia, PA 19104 USA Univ Penn Philadelphia PA USA 19104 , Philadelphia, PA 19104 USA



 Citazione:
 P.K. Saha e J.K. Udupa, "Fuzzy connected object delineation: Axiomatic path strength definition andthe case of multiple seeds", COMP VIS IM, 83(3), 2001, pp. 275295
Abstract
This paper presents an extension of previously published theory and algorithms for object definition based on fuzzy connectedness. In this approach, a strength of connectedness is assigned between every pair of image elements. This is done by finding the strongest among all possible connecting paths between the two elements in each pair. The strength assigned to a particular path is defined as the weakest affinity between successive pairs of elements along the path. Affinity specifies the degree to which elements hang together locally in the image and is determined considering how close the elements are in space and in intensity features. A fuzzy connected object containing a particular seed element specified within the object is computed via dynamic programming. In all reported works so far, the minimum of affinities has been considered to define path strength and the maximum of path strengths has been used to define fuzzy connectedness. The question thus remained all along as to whether there are other valid formulations for fuzzy connectedness. One of the main contributions of this paper is a theoreticalinvestigation under reasonable axioms to establish that maximum of path strengths of minimum of affinities along each path is indeed the one and onlyvalid choice for defining fuzzy connectedness. In the past, a single fuzzyconnected object was specified through a single seed element indicated interactively within the object region. When many objects are to be identifiedin a single image, interactive seed specification becomes cumbersome. Further, selecting exactly one element in each region automatically is more difficult than identifying a set of elements. Hence the theory and algorithms for the singleelement case need to be generalized to multiple elements formore effective practical use. This is the second main contribution of thispaper. The importance of multiple seeded fuzzy connected object definitionfrom the considerations of both practicality and automation in image segmentation are described and illustrated with examples taken from several realmedical applications. (C) 2001 Academic Press.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 01:10:56