Abstract
We have implemented a prototype document image editor that incorporates principles and algorithms for Perceptual Organization in order to facilitate selection and manipulation of visually salient image objects. Called ScanScribe, the program serves two purposes. First, it offers an illustration of the advantageous use of Gestalt principles of segmentation and grouping of text and line-art found in diagrams. Second, it is a practical tool for modifying existing diagrams and composing new diagrams from mixed source material. ScanScribe’s user interface design and foundational representations are designed to scale to support recognition of domain objects found by structural matching through subgraph correspondence or other techniques.
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© 2004 Springer-Verlag Berlin Heidelberg
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Saund, E., Mahoney, J. (2004). ScanScribe: Perceptually Supported Diagram Image Editing. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds) Diagrammatic Representation and Inference. Diagrams 2004. Lecture Notes in Computer Science(), vol 2980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25931-2_56
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DOI: https://doi.org/10.1007/978-3-540-25931-2_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21268-3
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