Difference between revisions of "Publications/201404-DAS-Ressources"
From LRDE
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| − | = Full Resolution Illustrations from the Paper = |
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''Click on image thumbnails to see the full resolution images.'' |
''Click on image thumbnails to see the full resolution images.'' |
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| − | == ''Fig. 8: Comparison of an opening based on a structuring element and an algebraic opening.'' == |
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| − | = Additional Illustrations = |
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| − | == Zero-crossing contours of different Laplace operators == |
+ | === Zero-crossing contours of different Laplace operators === |
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| − | == Applying some applications upon the simplified tree structure == |
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| − | = Additional Results = |
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Some morphological methods have been run on 63 document images from the [http://dataset.primaresearch.org/ PRImA Layout Analysis Dataset]. |
Some morphological methods have been run on 63 document images from the [http://dataset.primaresearch.org/ PRImA Layout Analysis Dataset]. |
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| − | == Simplification == |
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| − | == Show-through extraction == |
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Latest revision as of 11:18, 8 April 2014
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.
Fig. 8: Comparison of an opening based on a structuring element and an algebraic opening.
|
Initial image. |
Structural opening (with a disc). |
Algebraic (area) opening. |
Fig. 9: Sample uses of connected operators.
|
(a) Filtering out everything but boxes. |
|
|
(b) Showing filtered lines. |
|
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(c) An image featuring almost only text. |
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Additional Illustrations
Zero-crossing contours of different Laplace operators
|
(a) Δ4 |
(b) LoG 17x17 |
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(c) Δ□51 |
(d) Δ□17 |
Applying some applications upon the simplified tree structure
|
(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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