| Presentation | 2003/12/12 A Study on Image Segmentation by K-Means Algorithm Kyuuich YAMAMOTO, Shin-ichi MURAKAMI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image segmentation is one of pre-processing methods for object extraction and image recognition. This paper describes an improved K-means algorithm which is a well known method for image segmentation field. In the concrete, a new repetition method composed of K-means process and unification of clusters obtained by K-means algorithm is proposed. With this method, some good segmented images are obtained with good recurrence. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | K-Means Algorithm / Clustering / Image segmentation |
| Paper # | CS2003-155,IE2003-145 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2003/12/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Image Segmentation by K-Means Algorithm |
| Sub Title (in English) | |
| Keyword(1) | K-Means Algorithm |
| Keyword(2) | Clustering |
| Keyword(3) | Image segmentation |
| 1st Author's Name | Kyuuich YAMAMOTO |
| 1st Author's Affiliation | Graduate School of Engineering, Tokyo Denki University() |
| 2nd Author's Name | Shin-ichi MURAKAMI |
| 2nd Author's Affiliation | Graduate School of Engineering, Tokyo Denki University |
| Date | 2003/12/12 |
| Paper # | CS2003-155,IE2003-145 |
| Volume (vol) | vol.103 |
| Number (no) | 514 |
| Page | pp.pp.- |
| #Pages | 6 |
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