Fuzzy clustering in Intelligent Scissors

W. Wieclawek; E. Pietka

doi:10.1016/j.compmedimag.2012.03.004

Fuzzy clustering in Intelligent Scissors

Katedra Informatyki Medycznej i Sztucznej Inteligencji (RIB/RIB1)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

17 Cytowania z bazy Scopus

Abstrakt

In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic resonance (MR) studies. The 2D segmentation of lungs, abdominal structures and knee joint has been performed in order to evaluate the method. Significant numerical complexity reduction of the Live-Wire algorithm as well as improvement of the object delineation with a decreased number of user interactions have been obtained.

Język oryginału	angielski
Strony (od–do)	396-409
Liczba stron	14
Czasopismo	Computerized Medical Imaging and Graphics
Tom	36
Numer wydania	5
Identyfikatory DOI	https://doi.org/10.1016/j.compmedimag.2012.03.004
Status publikacji	Opublikowano - lip 2012

Obszary tematyczne ASJC Scopus

Technologia radiologiczna i ultrasonograficzna
Radiologia, medycyna nuklearna i obrazowanie
Rozpoznawanie obrazów i wzorów
Informatyka medyczna
Grafika komputerowa i projektowanie wspomagane komputerowo

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10.1016/j.compmedimag.2012.03.004

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Cytowanie

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title = "Fuzzy clustering in Intelligent Scissors",

abstract = "In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic resonance (MR) studies. The 2D segmentation of lungs, abdominal structures and knee joint has been performed in order to evaluate the method. Significant numerical complexity reduction of the Live-Wire algorithm as well as improvement of the object delineation with a decreased number of user interactions have been obtained.",

keywords = "Boundary, Cost map, Dijkstra algorithm, Edge, Graph search, Image segmentation, Intelligent Scissors, Live-Wire",

author = "W. Wieclawek and E. Pietka",

year = "2012",

month = jul,

doi = "10.1016/j.compmedimag.2012.03.004",

language = "English",

volume = "36",

pages = "396--409",

journal = "Computerized Medical Imaging and Graphics",

issn = "0895-6111",

publisher = "Elsevier Ltd.",

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TY - JOUR

T1 - Fuzzy clustering in Intelligent Scissors

AU - Wieclawek, W.

AU - Pietka, E.

PY - 2012/7

Y1 - 2012/7

N2 - In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic resonance (MR) studies. The 2D segmentation of lungs, abdominal structures and knee joint has been performed in order to evaluate the method. Significant numerical complexity reduction of the Live-Wire algorithm as well as improvement of the object delineation with a decreased number of user interactions have been obtained.

AB - In this study a modified Live-Wire approach is presented. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the wavelet transform cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to computed tomography (CT) and magnetic resonance (MR) studies. The 2D segmentation of lungs, abdominal structures and knee joint has been performed in order to evaluate the method. Significant numerical complexity reduction of the Live-Wire algorithm as well as improvement of the object delineation with a decreased number of user interactions have been obtained.

KW - Boundary

KW - Cost map

KW - Dijkstra algorithm

KW - Edge

KW - Graph search

KW - Image segmentation

KW - Intelligent Scissors

KW - Live-Wire

UR - https://www.scopus.com/pages/publications/84861330576

U2 - 10.1016/j.compmedimag.2012.03.004

DO - 10.1016/j.compmedimag.2012.03.004

M3 - Article

C2 - 22483373

AN - SCOPUS:84861330576

SN - 0895-6111

VL - 36

SP - 396

EP - 409

JO - Computerized Medical Imaging and Graphics

JF - Computerized Medical Imaging and Graphics

IS - 5

ER -

Fuzzy clustering in Intelligent Scissors

Abstrakt

Obszary tematyczne ASJC Scopus

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