DEDICATED FILTER FOR DEFECTS CLUSTERING IN RADIOGRAPHIC IMAGE

Defect clusters such as linear or clustered porosity are in some cases even more important than single flaws. This paper presents two methods of defect clustering and algorithm for calculation of distances between flaws in digital radiographic image. Dedicated lookup table based filter is used for c...

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Bibliographic Details
Main Authors: Sikora, R., Swiadek, K., Chady, T.
Format: Conference Proceeding
Language:English
Subjects:
ALGORITHMS
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
DEFECTS
IMAGE PROCESSING
INDUSTRIAL RADIOGRAPHY
POROSITY
Online Access:Get full text
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Summary:Defect clusters such as linear or clustered porosity are in some cases even more important than single flaws. This paper presents two methods of defect clustering and algorithm for calculation of distances between flaws in digital radiographic image. Dedicated lookup table based filter is used for calculation of distances between objects in the specified range. For defect clustering two functions were developed. First one is based on MMD (Minimum Mean Distance) algorithm. Second one uses hierarchical procedures for clustering defects of various types, shapes and size.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.3114322