Color feature extraction of regions by means of GA for scenery image retrieval

Yasue Mitsukura, Koji Sakamoto, Hironobu Fukai, Seiki Yoshimori, Seiji Ito, Minoru Fukumi

研究成果: Article査読


Keyword image retrieval is now widely studied. By using such technologies, we can obtain images with the corresponding keywords easily. In the case of conventional image search systems, we basically search according to file names. However, the file names given are frequently incorrect. To resolve this problem, we propose an automatic keyword addition method for scenery images. In this paper, there are two important points. One is the image segmentation method using the maximum distance algorithm (MDA). The other is automatic keyword addition using the color features of regions. In the image segmentation method, we propose an automatic decision method for the parameters of the MDA. For this purpose, we investigate the relation between the optimal parameters and the features of regions. For the color feature extraction of regions, we propose a genetic algorithm (GA). Moreover, in order to show the effectiveness of the proposed method, we provide simulation examples. The results of simulations demonstrate the effectiveness of keyword addition for scenery images. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(2): 39-49, 2012; Published online in Wiley Online Library (). DOI 10.1002/ecj.10364

ジャーナルElectronics and Communications in Japan
出版ステータスPublished - 2012 2月

ASJC Scopus subject areas

  • 信号処理
  • 物理学および天文学(全般)
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学
  • 応用数学


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