An APL rule-based system architecture for image interpretation strategies
APL '91 Proceedings of the international conference on APL '91
Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Interactive Case-Based Reasoning System for the Development of Image Processing Applications
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Intelligent systems in the automotive industry: applications and trends
Knowledge and Information Systems
Ontology based complex object recognition
Image and Vision Computing
Ontology based process plan generation for image processing
International Journal of Metadata, Semantics and Ontologies
Fuzzy spatial relation ontology for image interpretation
Fuzzy Sets and Systems
NDE weld defect detection and feature extraction using segmentation approach
International Journal of Advanced Intelligence Paradigms
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Image interpretation is the process of mapping the content of the image to a real world object that is easily understandable by any user. To perform any image interpretation, the image information is extracted through feature extraction and is then mapped to the known objects of any domain. In order to retain the extracted feature information of the domain for reusability, a proper modeling of the image content is required. This helps in maximizing the leverage of knowledge in image interpretation of specific domain through a computer interpretable model which results as a knowledgebase. This paper focuses on such a modeling for gray scale image interpretation emphasizing on welding defect classification which resulted in domain ontology of welding defects. Domain ontology is created by formalizing the information related to the gray scale image and its significance in welding defects. The developed system is evaluated using industrial radiographs to detect and classify welding defects.