| Presentation | 2007-02-22 A Note on Improvement of Similar Image Clustering Method using Neocognitron : Introduction of Novel Structure for Extracting Color Features Takatoshi OHARA, Takahiro OGAWA, Miki HASEYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a new image clustering method. We have proposed an image clustering method using a neocognitron which is one of the neural networks. In this paper, we use the edge features of the images as the input stimulus of the neocognitron. However, since this method notes only the edge features of the images, misclassifications are inevitable by changes of the target object's direction. Therefore, this paper proposes a new image clustering method based on the edge and color features. The color histogram that is one of the color features is robust to these problems. Therefore, the proposed method classifies the images based on the color histogram by using the self-organizing map. Further, the structure of the neocognitron is adaptively set from the obtained clustering result to perform the classification based on edges. Therefore, since both the color and edge features of the images can be utilized, our method accurately classifies the images. Some experimental results show the proposed method achieves high classification performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image clustering / neocognitron / self-organizing map |
| Paper # | ITS2006-43,IE2006-228 |
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| Conference Information | |
| Committee | ITS |
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| Conference Date | 2007/2/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Intelligent Transport Systems Technology (ITS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Note on Improvement of Similar Image Clustering Method using Neocognitron : Introduction of Novel Structure for Extracting Color Features |
| Sub Title (in English) | |
| Keyword(1) | image clustering |
| Keyword(2) | neocognitron |
| Keyword(3) | self-organizing map |
| 1st Author's Name | Takatoshi OHARA |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
| 2nd Author's Name | Takahiro OGAWA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| 3rd Author's Name | Miki HASEYAMA |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| Date | 2007-02-22 |
| Paper # | ITS2006-43,IE2006-228 |
| Volume (vol) | vol.106 |
| Number (no) | 534 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |