A framework for knowledge representation and use in pattern analysis
ISMIS '86 Proceedings of the ACM SIGART international symposium on Methodologies for intelligent systems
An APL rule-based system architecture for image interpretation strategies
APL '91 Proceedings of the international conference on APL '91
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Integrating Aspects of Active Vision into a Knowledge-Based System
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Towards ontology-based cognitive vision
Machine Vision and Applications
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The ultimate aim in a large number of image processing applications is to extract the various features from the image and to analyse them for interpretation or for classification. The steps in the image analysis basically involve proper image preprocessing and image segmentation process. Generally, image processing specialists develop their processing plan by trial error cycles and do not define a real formulation of the plan for the given image. To formulate the process plan generation of image analysis, a convenient knowledge organisation is preferable. In this paper, ontology consisting of all the possible processing tasks of a grey scale image is created and a process plan for the analysis of image is automatically generated using the knowledge represented in the ontology.