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An image recognition method by rough classification for a scene image

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Abstract

We have recognized the regions of scene images for image recognition. First, the proposed segmentation method classifies images into several segments without using the Euclidian distance. We need several features to recognize regions. However, they are different for chromatic and achromatic colors. The regions are divided into three categories (black, achromatic, and chromatic). In this article, we focus on the achromatic category. The averages of the intensity and the fractal dimension features of the regions in the achromatic category are calculated. We recognize the achromatic region by using a neural network with suitable features. In order to show the effectiveness of the proposed method, we have recognized the regions.

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Author notes

  1. Seiji Ito

    Present address: Searching for ways to Conserve and Enhance Global Environment, Faculty of Environmental Studies, Hiroshima Institute of Technology, 2-1-1 Miyake, Saeki-ku, Hiroshima, 731-5193, Japan

Authors and Affiliations

  1. Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan

    Seiji Ito, Michifumi Yoshioka & Sigeru Omatu

  2. Noritsu Koki Co., Wakayama, Japan

    Kouji Kita & Kouichi Kugo

Authors
  1. Seiji Ito
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  2. Michifumi Yoshioka
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  3. Sigeru Omatu
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  4. Kouji Kita
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  5. Kouichi Kugo
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Corresponding author

Correspondence to Seiji Ito.

Additional information

This work was presented in part at the 10th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2005

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Ito, S., Yoshioka, M., Omatu, S. et al. An image recognition method by rough classification for a scene image. Artif Life Robotics 10, 120–125 (2006). https://doi.org/10.1007/s10015-005-0353-9

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  • DOI: https://doi.org/10.1007/s10015-005-0353-9

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