| Paper Abstract and Keywords |
| Presentation |
2007-02-22 12:05
Perceptual Segmentation of Natural Color Images Using Hierarchical Algorithm
Akimitsu Kawano, Hiroto Yokogishizawa, Junji Maeda (Muroran IT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this paper is perceptual segmentation of natural color images containing man-made objects and natural objects. Perceptual segmentation is defined the type of segmentation in which the region of a tree is regarded as one region in contrast to detailed segmentation that considers a tree as many branch regions and leaf regions. We propose the modified hierarchical segmentation algorithm that integrates the $L^*a^*b^*$ components as color features and the statistical geometrical features as texture features by using fuzzy inference. The proposed method is composed of four stages: simple splitting, local merging, global merging and boundary refinement. The comparative experiments with the existing method are performed to demonstrate the effectiveness of the proposed method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Hierarchical segmentation algorithm / fuzzy inference / $L^*a^*b^*$ color features / statistical geometrical features / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 106, pp. 29-34, Feb. 2007. |
| Paper # |
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| Date of Issue |
2007-02-15 (ITS, IE) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
|
| Conference Information |
| Committee |
ITE-ME ITS IE ITE-HI ITE-AIT |
| Conference Date |
2007-02-22 - 2007-02-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processings, Video Media for ITS, etc. |
| Paper Information |
| Registration To |
ITE-ME |
| Conference Code |
2007-02-ITE-ME-ITS-IE-ITE-HI-ITE-CG |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Perceptual Segmentation of Natural Color Images Using Hierarchical Algorithm |
| Sub Title (in English) |
|
| Keyword(1) |
Hierarchical segmentation algorithm |
| Keyword(2) |
fuzzy inference |
| Keyword(3) |
$L^*a^*b^*$ color features |
| Keyword(4) |
statistical geometrical features |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Akimitsu Kawano |
| 1st Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
| 2nd Author's Name |
Hiroto Yokogishizawa |
| 2nd Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
| 3rd Author's Name |
Junji Maeda |
| 3rd Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
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| Speaker |
Author-1 |
| Date Time |
2007-02-22 12:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
ITE-ME |
| Paper # |
ITS2006-48, IE2006-233 |
| Volume (vol) |
vol.106 |
| Number (no) |
no.534(ITS), no.536(IE) |
| Page |
pp.29-34 |
| #Pages |
6 |
| Date of Issue |
2007-02-15 (ITS, IE) |