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 |
|---|---|
| Title of host publication | Proceedings of the International Joint Conference on Neural Networks |
| Publisher | IEEE |
| Pages | 4413-4418 |
| Number of pages | 6 |
| Volume | 6 |
| Publication status | Published - 1999 |
| 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) |
|---|---|
| City | Washington, DC, USA |
| Period | 99/7/10 → 99/7/16 |
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ASJC Scopus subject areas
- Software
Cite this
Image segmentation by artificial life approach using autonomous agents. / Kagawa, Hideki; Kinouchi, Makoto; Hagiwara, Masafumi.
Proceedings of the International Joint Conference on Neural Networks. Vol. 6 IEEE, 1999. p. 4413-4418.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Image segmentation by artificial life approach using autonomous agents
AU - Kagawa, Hideki
AU - Kinouchi, Makoto
AU - Hagiwara, Masafumi
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033333621&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033333621&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033333621
VL - 6
SP - 4413
EP - 4418
BT - Proceedings of the International Joint Conference on Neural Networks
PB - IEEE
ER -