Name
Title | ||
|---|---|---|
Efficient Document Image Segmentation Representation by Approximating Minimum-Link Polygons |
Abstract | ||
|---|---|---|
The result of a document image segmentation task, e.g. text line or word segmentation, is usually a labeled image with each label corresponding to a different segmented region. For many applications, the segmented regions need to be stored and represented in an efficient way, using simple geometric shapes. A challenging task is to restrict all pixels corresponding to a specific label inside a polygon with a minimum number of vertices. Such a polygon promotes the description simplicity and the storage efficiency, while providing a much more user-friendly representation that can be edited easily. The proposed method is a cost-effective approximation of the minimum-edges polygon problem, computing a contour enclosing only pixels of a certain label and using a greedy algorithm in order to reduce the contour into a minimum-link polygon that retains the separability property between the labeled set of pixels. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/DAS.2016.59 | 2016 12th IAPR Workshop on Document Analysis Systems (DAS) |
Keywords | Field | DocType |
Document Image Segmentation Representation,Groundtruth Representation,Minimum-Link Polygon Approximation | Computer vision,Polygon,Scale-space segmentation,Pattern recognition,Image texture,Computer science,Range segmentation,Segmentation-based object categorization,Image segmentation,Pixel,Artificial intelligence,Minimum spanning tree-based segmentation | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Retsinas | 1 | 8 | 3.91 |
| Georgios Louloudis | 2 | 81 | 9.54 |
| Nikolaos Stamatopoulos | 3 | 20 | 2.79 |
| Basilis Gatos | 4 | 773 | 43.34 |