Abstract
In this paper, we propose an image segmentation by artificial life approach using autonomous agents. Each agent moves on the image according to some constant rules as follows; Each agent has the features such as color. It moves onto a pixel which has the most similar features. It also puts pheromone on the pixels. The pheromone is the idea based on the chemical substance which has the property to keep agents away. Each agent searches for the pixel which has smaller amount of pheromone and the most similar features. The locus of each agent becomes a segmented region. The proposed method has the following features: (1) it costs less amount of calculation; (2) it can be applied to a wide variety of images.
| Original language | English |
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| Pages | 4413-4418 |
| Number of pages | 6 |
| Publication status | Published - 1999 Dec 1 |
| Event | International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 1999 Jul 10 → 1999 Jul 16 |
Other
| Other | International Joint Conference on Neural Networks (IJCNN'99) |
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| City | Washington, DC, USA |
| Period | 99/7/10 → 99/7/16 |
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ASJC Scopus subject areas
- Software
- Artificial Intelligence
Cite this
Kagawa, H., Kinouchi, M., & Hagiwara, M. (1999). Image segmentation by artificial life approach using autonomous agents. 4413-4418. Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA, .