Color feature extraction of the regions using the GA for the scenery image retrieval

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

Research output: Contribution to journalArticlepeer-review


Recently, the keyword image retrieval is widely studied. By using these technologies, we can obtain the images with the corresponding keywords easily. In case of conventional image search systems, we search according to the file names basically. However, filenames which is named are frequently incorrect. To resolve this problem, we propose the automatic keyword addition method for scene images. In this paper, there are two important points. One of them is the image segmentation method using the maximum distance algorithm (MDA). The other is the automatic keyword addition using the color feature of regions. The other is the color feature extraction of regions. In the image segmentation method, we propose the automatic decision method of parameters in the MDA. For this purpose, we investigate the relation between the optimal parameters and features of regions. In the color feature extraction of regions, we propose the genetic algorithm(GA). Moreover, in order to show the effectiveness of the proposed method, we show the simulation examples. According to the results of the simulations, we achieve the keyword addition for scene images.

Original languageEnglish
Pages (from-to)710-719+18
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number4
Publication statusPublished - 2009
Externally publishedYes


  • Content-based image retrieval
  • Image segmentation
  • Scene image

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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