This book focuses on design and development of a unified framework
for radiographic image analysis and interpretation with emphasis on
defect classification. The framework is constructed by creating two
ontologies namely process ontology and domain ontology. Process
ontology structures information for performing gray scale image
analysis and it is maintained as a knowledgebase. The images are
analyzed by using the process plan which resulted in the enhanced
images from which geometrical, statistical and textural features
are extracted to construct domain ontology. In addition to that,
details of welding defects in radiographic image are conceptualized
and maintained in the domain ontology. The framework includes a
flexible user interface through which the experts' knowledge of the
domain can be uploaded into the knowledgebase. The knowledgebase
search is minimized into single selection on the domain ontology
using which the entire content of defects and type of defect
appearing in the image can be visualized. The performance study
shows that the developed unified framework outperformed the other
two models viz. neural and statistical with respect to
classification of defects.
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