| Article ID: | iaor2008458 |
| Country: | United Kingdom |
| Volume: | 35 |
| Issue: | 2 |
| Start Page Number: | 173 |
| End Page Number: | 183 |
| Publication Date: | Apr 2007 |
| Journal: | OMEGA |
| Authors: | Montero J., Yez Javier, Gmez D., Poidomani C. |
| Keywords: | artificial intelligence: decision support |
In this paper we develop a segmentation scheme for digital images based upon an iterative binary coloring technique that takes into account changing behavior of adjacent pixels. The output is a hierarchical structure of images which allows a better understanding of complex images. In particular, we propose two algorithms that should be considered as image preprocessing techniques.