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Journal of Computer Science and Technology

, Volume 7, Issue 3, pp 219–225 | Cite as

Visual knowledge representation and intelligent image segmentation

  • Zheng Nanning 
  • Liu Jianqin 
Regular Papers

Abstract

Automatic medical image analysis shows that image segmentation is a crucial task for any practical AI system in this field. On the basis of evaluation of the existing segmentation methods, a new image segmentation method is presented. To seek the perfect solution to knowledge representation in low level machine vision, a new knowledge representation approach—“Notebook” approach is proposed and the processing of visual knowledge is discussed at all levels. To integrate the computer vision theory with Gestalt psychology and knowledge engineering, a new integrated method for intelligent image segmentation of sonargraphs—“Generalized-pattern guided segmentation” is proposed. With the methods and techniques mentioned above, the medical diagnosis expert system for sonargraphs can be built. The work on the preliminary experiments is also introduced.

Keywords

Image Segmentation Knowledge Representation Object Detection Systolic Array High Level Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 1992

Authors and Affiliations

  • Zheng Nanning 
    • 1
  • Liu Jianqin 
    • 1
  1. 1.Institute of Artificial Intelligence and RoboticsXi'an Jiaotong UniversityXi'an

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