Ontology based process plan generation for image processing

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.

[1]  A. S. Vu.  A computer vision system for automatic knowledge-based configuration of the image processing and hierarchical object recognition , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[2]  Piero Mussio,et al.  An APL rule-based system architecture for image interpretation strategies , 1991, APL '91.

[3]  Monique Thonnat,et al.  Towards ontology-based cognitive vision , 2004, Machine Vision and Applications.

[4]  Stephan Winter,et al.  On Ontology in Image Analysis , 1999, Integrated Spatial Databases.

[5]  Takashi Matsuyama.  Expert systems for image processing: Knowledge-based composition of image analysis processes , 1989, Comput. Vis. Graph. Image Process..

[6]  A Giordana,et al.  A framework for knowledge representation and use in pattern analysis , 1986, ISMIS '86.

[7]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[8]  Claude C. Chibelushi,et al.  Knowledge-Based Image Understanding: A Rule-Based Production System for X-Ray Segmentation , 2002, ICEIS.

[9]  M. Ramoni,et al.  An epistemological framework for medical knowledge-based systems , 1992, IEEE Trans. Syst. Man Cybern..

[10]  Heinrich Niemann,et al.  Integrating aspects of active vision into a knowledge-based system , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[11]  Lei Wang,et al.  Ontology-based image classification using neural networks , 2002, SPIE ITCom.

[12]  Arnold Blömer,et al.  Architecture of the knowledge based configuration system for image analysis 'CONNY' , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.