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Flaw detection in radiographic weldment images using morphological watershed segmentation technique

Author
ALAKNANDA1 ; ANAND, R. S1 ; KUMAR, Pradeep2
[1] Departrrent of Electrical Engineering, Indian Institute of Technology, Roorkee, Roorkee 247 667, India
[2] Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Roorkee 247 667, India
Source

NDT & E international. 2009, Vol 42, Num 1, pp 2-8, 7 p ; ref : 11 ref

ISSN
0963-8695
Scientific domain
Mechanical engineering
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Catchment basin Flaw detection Multistage watershed segmentation Radiographic images
Keyword (fr)
Algorithme partage des eaux Assemblage soudé Bassin versant Division image Défaut Détection défaut Détection seuil Forme géométrique Image binaire Inclusion solide Morphologie mathématique Radiographie RX Segmentation image Théorie euclidienne Traitement image
Keyword (en)
Watershed algorithm Welded joint Watershed Image division Defect Defect detection Threshold detection Geometrical shape Binary image Solid inclusion Mathematical morphology X ray radiography Image segmentation Euclidean theory Image processing
Keyword (es)
Algoritmo divisoria de aguas Ensamblaje soldado Cuenca División imagen Defecto Detección imperfección Detección umbral Forma geométrica Imagen binaria Inclusión sólida Morfología matemática Radiografía RX Teoría euclidiana Procesamiento imagen
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B80 Cross-disciplinary physics: materials science; rheology / 001B80A Materials science / 001B80A70 Materials testing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems Physics and materials science
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20952125

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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