Image database retrieval using the cutting strategy for synthetic features
碩士 === 南台科技大學 === 資訊工程系 === 99 === The performance and recognition accuracy improvements for image retrieval have become important research issues in recent years. In many applications of the image database retrieval, the amount of the images is too much and too similar to have a good performance. T...
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ndltd-TW-099STUT83920052016-11-22T04:13:40Z http://ndltd.ncl.edu.tw/handle/84066551787197647117 Image database retrieval using the cutting strategy for synthetic features 綜合性特徵切割之影像資料庫檢索 Chih-Yen Yang 楊智雁 碩士 南台科技大學 資訊工程系 99 The performance and recognition accuracy improvements for image retrieval have become important research issues in recent years. In many applications of the image database retrieval, the amount of the images is too much and too similar to have a good performance. The Zernike moment technology is one of the most famous image recognition methods. Especially, Zernike moment has a high anti-rotation property for the image retrieval. However, in order to improve the retrieval accuracy in an image database, the Zernike moment method must increase its moment degree, which increases the computation time drastically. Therefore, this thesis proposes a cutting strategy based on Zernike moments, texture feature and Radon transform for an image. This thesis employs these features to reduce the retrieval time and to improve the retrieval accuracy in the image database. The experimental results show that the proposed method performs better than Liu et al. and Kim et al. methods. Yu-Chiang Li 李育強 學位論文 ; thesis 66 zh-TW |
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碩士 === 南台科技大學 === 資訊工程系 === 99 === The performance and recognition accuracy improvements for image retrieval have become important research issues in recent years. In many applications of the image database retrieval, the amount of the images is too much and too similar to have a good performance. The Zernike moment technology is one of the most famous image recognition methods. Especially, Zernike moment has a high anti-rotation property for the image retrieval. However, in order to improve the retrieval accuracy in an image database, the Zernike moment method must increase its moment degree, which increases the computation time drastically. Therefore, this thesis proposes a cutting strategy based on Zernike moments, texture feature and Radon transform for an image. This thesis employs these features to reduce the retrieval time and to improve the retrieval accuracy in the image database. The experimental results show that the proposed method performs better than Liu et al. and Kim et al. methods.
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Yu-Chiang Li |
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Yu-Chiang Li Chih-Yen Yang 楊智雁 |
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Chih-Yen Yang 楊智雁 |
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Chih-Yen Yang 楊智雁 Image database retrieval using the cutting strategy for synthetic features |
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Chih-Yen Yang |
title |
Image database retrieval using the cutting strategy for synthetic features |
title_short |
Image database retrieval using the cutting strategy for synthetic features |
title_full |
Image database retrieval using the cutting strategy for synthetic features |
title_fullStr |
Image database retrieval using the cutting strategy for synthetic features |
title_full_unstemmed |
Image database retrieval using the cutting strategy for synthetic features |
title_sort |
image database retrieval using the cutting strategy for synthetic features |
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http://ndltd.ncl.edu.tw/handle/84066551787197647117 |
work_keys_str_mv |
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