Knowledge-Based Image Understanding Systems: A Survey

Crevier, Daniel; Lepage, Richard

doi:10.1006/cviu.1996.0520

Cited by 134 publications

(53 citation statements)

References 54 publications

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“…Automatic "image understanding" has been a major issue in the pattern recognition and computer vision community for some decades [3]. A much elaborated example for rule-based reasoning systems has been the well known SIGMA-system [10].…”

Section: Introductionmentioning

confidence: 99%

Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system

Michaelsen

Stilla

Soergel

et al. 2010

Pattern Recognition Letters

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Section: Introductionmentioning

confidence: 99%

Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system

Michaelsen

Stilla

Soergel

et al. 2010

Pattern Recognition Letters

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“…Document image interpretation is an artificial intelligence problem based on three entities: a control system, a pattern recognition process for document images 1 , and a knowledge base. Several common works on this problem have been realized during the last fifteen years [12]. This paper deals with the pattern recognition process.…”

Section: Introductionmentioning

confidence: 99%

Local Structural Analysis: A Primer

Delalandre

Trupin

Ogier

2004

Graphics Recognition. Recent Advances and Perspectives

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The structural analysis is a processing step during which graphs are extracted from binary images. We can decompose the structural analysis into local and global approaches. The local approach decomposes the connected components, and the global approach groups them together. This paper deals especially with the local structural analysis. The local structural analysis is employed for different applications like symbol recognition, line drawing interpretation, and character recognition. We propose here a primer on the local structural analysis. First, we propose a general decomposition of the local structural analysis into four steps: object graph extraction, mathematical approximation, high-level object construction, and object graph correction. Then, we present some considerations on the method comparison and combination.

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“…Knowledge-based image understanding systems, however, continue to rely upon 1 st generation techniques and design methodologies; unstructured rule bases remain the norm. Crevier and Lepage [6], for example, use the standard rules + inference engine architecture as the basis of their review.…”

Section: Introductionmentioning

confidence: 99%

Interpreting Line Drawing Images: A Knowledge Level Perspective

Pridmore

Darwish

Elliman

2002

Lecture Notes in Computer Science

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Abstract. Image understanding systems rely heavily on a priori knowledge of their application domain, often exploiting techniques developed in the wider field of knowledge-based systems (KBSs). Despite attempts, typified by the KADS/CommonKADS projects, to develop structured knowledge engineering approaches to KBS development, those working in image understanding continue to employ unstructured 1 st generation KBS methods. We analyse some existing image understanding systems, concerned with the interpretation of images of line drawings, from a knowledge engineering perspective. Attention focuses on the relationship between the structure of the systems considered and the KADS/CommonKADS models of expertise, sometimes called generic task models. Mappings are identified between each system and an appropriate task model, identifying common inference structures and use of knowledge. This is the first step in the acquisition of models of the expertise underpinning drawing interpretation. Such models would bring significant benefits to the design, maintenance and understanding of line drawing interpretation systems.

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Knowledge-Based Image Understanding Systems: A Survey

Cited by 134 publications

References 54 publications

Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system

Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system

Local Structural Analysis: A Primer

Interpreting Line Drawing Images: A Knowledge Level Perspective

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