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An efficient iterative algorithm for image thresholding

Author
LIJU DONG1 ; GE YU2 ; OGUNBONA, Philip3 ; WANQING LI3
[1] School of Information Science and Engineering, Shenyang University, Shenyang, China
[2] School of Information Science and Engineering, Northeastern University, Shenyang, China
[3] School of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia
Source

Pattern recognition letters. 2008, Vol 29, Num 9, pp 1311-1316, 6 p ; ref : 1/4 p

CODEN
PRLEDG
ISSN
0167-8655
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Binarisation Segmentation Thresholding
Keyword (fr)
Algorithme Complexité calcul Détection seuil Evaluation performance Fonction erreur Fonction objectif Méthode itérative Performance algorithme Segmentation image Traitement image
Keyword (en)
Algorithm Computational complexity Threshold detection Performance evaluation Error function Objective function Iterative method Algorithm performance Image segmentation Image processing
Keyword (es)
Algoritmo Complejidad computación Detección umbral Evaluación prestación Función error Función objetivo Método iterativo Resultado algoritmo Procesamiento imagen
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20389106

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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