Name
Abstract | ||
|---|---|---|
We develop real-time, low-complexity image classification algorithms suitable for a copy mode selector embedded in a low-end copier. The algorithms classify scanned images represented in RGB or in an opponent color space. Classes are the eight combinations of mono/color and text/mix/picture/photo. Classification is 30-98% accurate with misclassifications tending to be benign. The algorithms provide for improved copy quality, a simplified user interface, and increased copy rate. (C) 2008 SPIE and IS&T. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1117/1.3010879 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
algorithms,data storage | Computer vision,Color space,Pattern recognition,Computer science,Document image processing,Image representation,Artificial intelligence,RGB color model,Statistical classification,Contextual image classification,User interface | Journal |
Volume | Issue | ISSN |
17 | 4 | 1017-9909 |
Citations | PageRank | References |
3 | 0.44 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaogang Dong | 1 | 13 | 3.63 |
| Kai-Lung Hua | 2 | 265 | 42.99 |
| Peter Majewicz | 3 | 7 | 2.20 |
| Gordon McNutt | 4 | 3 | 0.44 |
| Charles A. Bouman | 5 | 2740 | 473.62 |
| Jan P. Allebach | 6 | 1230 | 170.88 |
| Ilya Pollak | 7 | 79 | 17.38 |