Name
Abstract | ||
|---|---|---|
In this paper, we proposed a simple yet effective image binarization method to work with various kinds of images, such as images with the color bleeding characters, or with non-uniform background exposed to poor ambient light, and so forth. Our approach is based on a hybrid color quantization process, which adaptively takes the global and local image characteristics into account; therefore, it can deal with complex images. The experiment result shows that our proposed hybrid method outperforms the literature methods. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICME.2010.5583364 | 2010 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2010) |
Keywords | Field | DocType |
Image Binarization, Image Quantization, Hybrid Thresholding | Computer vision,Pattern recognition,Noise measurement,Computer science,Feature extraction,Image segmentation,Color bleeding,Artificial intelligence,Pixel,Thresholding,Quantization (image processing),Color quantization | Conference |
ISSN | Citations | PageRank |
1945-7871 | 5 | 0.65 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tien-Ying Kuo | 1 | 148 | 19.24 |
| Yun-Yang Lai | 2 | 5 | 0.65 |
| Yi-Chung Lo | 3 | 32 | 5.06 |