A new system for segmentation and recognition of scenery images

S. Kudo, M. Hagiwara

研究成果: Paper査読

抄録

This paper proposes a new system for segmentation and recognition of scenery images. Most of the conventional methods for image recognition are based on rules or pattern matching. It is true that they have high accuracy. However, the generalization ability is not sufficient and they require heuristic knowledge. In addition, these methods are used on the assumption that images are segmented appropriately. The proposed system alleviates these shortcomings by effective combination of K-mean-type algorithm [4], Back Propagation algorithm (BP) and Fuzzy Inference Neural Network (FINN) [8].

本文言語English
ページ2548-2553
ページ数6
出版ステータスPublished - 2001
イベントInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
継続期間: 2001 7月 152001 7月 19

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'01)
国/地域United States
CityWashington, DC
Period01/7/1501/7/19

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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