Using a category to analyze an image showing a graphical represe

Image analysis – Image sensing – Sensor control

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382203, 382224, 382276, 358400, 358402, G06K 920

Patent

active

055442676

ABSTRACT:
Image data define an image that shows an input graphical representation whose configuration represents information. The image can show a sketch, for example. The image data are used to obtain category data indicating a category of graphical representations. For example, the category data could indicate any of X-Y graph, directed graph, undirected graph, bar graph, pie chart, line graph, scatter plot, circuit diagram, flow chart, Venn diagram, state-transition diagram, tree, table, matrix, or array. The category data could also indicate a specific category within a generic category such as bar graph or pie chart. The category data can be obtained by determining whether the graphical representation satisfies a constraint on each category. Each category's constraint may be applied to parts of the input image that meet a feature candidate criterion, which may be different for each specific category in a generic category, even though the feature candidates must satisfy another constraint that is the same for all specific categories in the generic category. The category data are then used to obtain content data indicating information represented by the input graphical representation's configuration, and an output image is obtained with an output graphical representation, with a configuration representing the information indicated by the content data. The output graphical representation can be more precisely formed than the input graphical representation. The output graphical representation can be in the same generic category as the input graphical representation, but possibly in a different specific category, or it can be in a different generic category.

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