Difference between revisions of "Publications/201404-DAS-Ressources"
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Simplification of color images. |
Simplification of color images. |
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"Smart" binarization taking into account reverse video. |
"Smart" binarization taking into account reverse video. |
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Images combining the result of several identifications: background ('''black'''), non-specific objects ('''%SILVER%light gray%ENDCOLOR%''' contours), object holes ('''%YELLOW%yellow%ENDCOLOR%''' contours), thin line separators ('''%GREEN%green%ENDCOLOR%''' contours), text boxes ('''%AQUA%light blue%ENDCOLOR%''' contours), noise ('''%RED%dark red%ENDCOLOR%''' contours) and spurious shapes ('''%GRAY%dark gray%ENDCOLOR%''' contours). |
Images combining the result of several identifications: background ('''black'''), non-specific objects ('''%SILVER%light gray%ENDCOLOR%''' contours), object holes ('''%YELLOW%yellow%ENDCOLOR%''' contours), thin line separators ('''%GREEN%green%ENDCOLOR%''' contours), text boxes ('''%AQUA%light blue%ENDCOLOR%''' contours), noise ('''%RED%dark red%ENDCOLOR%''' contours) and spurious shapes ('''%GRAY%dark gray%ENDCOLOR%''' contours). |
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Revision as of 16:13, 25 October 2013
This page gathers resources related to the article entitled
Planting, Growing, and Pruning Trees: Connected Filters Applied to Document Image Analysis
submitted to the
11th IAPR International Workshop on Document Analysis Systems (DAS 2014).
Full Resolution Illustrations from the Paper
Click on image thumbnails to see the full resolution images.
Figure 3. Sample uses of connected operators.
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(a) Filtering out everything but boxes. |
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(b) Showing filtered lines. |
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(c) An image featuring almost only text. |
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Figure 4. Zero-crossing contours of different Laplace operators.
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(a) Δ4 |
(b) LoG 17x17 |
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(c) Δ□51 |
(d) Δ□17 |
Figure 6. Applying some applications upon the simplified tree structure.
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(a) Color input image. |
(b) Δ□51 |
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(c) Simplification. |
(d) Binarization. |
Additional Results
Some morphological methods have been run on 63 document images from the PRImA Layout Analysis Dataset. Several results are proposed:
Click on image thumbnails to see the full resolution images.
Simplification.
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Simplification of color images.
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Binarization
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"Smart" binarization taking into account reverse video.
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Identification
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Images combining the result of several identifications: background (black), non-specific objects (%SILVER%light gray%ENDCOLOR% contours), object holes (%YELLOW%yellow%ENDCOLOR% contours), thin line separators (%GREEN%green%ENDCOLOR% contours), text boxes (%AQUA%light blue%ENDCOLOR% contours), noise (%RED%dark red%ENDCOLOR% contours) and spurious shapes (%GRAY%dark gray%ENDCOLOR% contours).
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