Image segmentation by artificial life approach using autonomous agents

Hideki Kagawa, Makoto Kinouchi, Mazafumi Hagiwara

研究成果: Paper査読

11 被引用数 (Scopus)

抄録

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.

本文言語English
ページ4413-4418
ページ数6
出版ステータスPublished - 1999 12 1
イベントInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
継続期間: 1999 7 101999 7 16

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA
Period99/7/1099/7/16

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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