TY - JOUR
T1 - Color feature extraction of the regions using the GA for the scenery image retrieval
AU - Mitsukura, Yasue
AU - Sakamoto, Koji
AU - Fukai, Hironobu
AU - Yoshimori, Seiki
AU - Ito, Seiji
AU - Fukumi, Minora
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Content-based image retrieval
KW - Image segmentation
KW - Scene image
UR - http://www.scopus.com/inward/record.url?scp=67651174800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67651174800&partnerID=8YFLogxK
U2 - 10.1541/ieejeiss.129.710
DO - 10.1541/ieejeiss.129.710
M3 - Article
AN - SCOPUS:67651174800
SN - 0385-4221
VL - 129
SP - 710-719+18
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
IS - 4
ER -