Image segmentation using a combined DCT and neural networks technique
碩士 === 立德管理學院 === 應用資訊研究所 === 93 === Almost all digital images are stored in compressed formats which are defined by joint picture expert group (JPEG) and are widely adopted on image database. The fast image extraction algorithm is applied and the image is directly extracted Discrete Cosine Transfor...
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2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/01765362348595012247 |
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ndltd-TW-093LU0055850042016-06-01T04:14:20Z http://ndltd.ncl.edu.tw/handle/01765362348595012247 Image segmentation using a combined DCT and neural networks technique 結合DCT與類神經網路技術之影像分割技術 Hsuan-Ming Hsu 許玄明 碩士 立德管理學院 應用資訊研究所 93 Almost all digital images are stored in compressed formats which are defined by joint picture expert group (JPEG) and are widely adopted on image database. The fast image extraction algorithm is applied and the image is directly extracted Discrete Cosine Transform (DCT) coefficients. With these DCT coefficients, the original image is transformed to a new image for the proposed automatic segmentation technique. Based on the histogram analysis, the new thresholding method is proposed and is combined with neural networks technique. The experiment results display that the computation of automatic segmentation is more efficient and the quality achieves the human vision as well. E-Liang Chen 陳怡良 2005 學位論文 ; thesis 47 zh-TW |
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碩士 === 立德管理學院 === 應用資訊研究所 === 93 === Almost all digital images are stored in compressed formats which are defined by joint picture expert group (JPEG) and are widely adopted on image database. The fast image extraction algorithm is applied and the image is directly extracted Discrete Cosine Transform (DCT) coefficients. With these DCT coefficients, the original image is transformed to a new image for the proposed automatic segmentation technique.
Based on the histogram analysis, the new thresholding method is proposed and is combined with neural networks technique. The experiment results display that the computation of automatic segmentation is more efficient and the quality achieves the human vision as well.
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| author2 |
E-Liang Chen |
| author_facet |
E-Liang Chen Hsuan-Ming Hsu 許玄明 |
| author |
Hsuan-Ming Hsu 許玄明 |
| spellingShingle |
Hsuan-Ming Hsu 許玄明 Image segmentation using a combined DCT and neural networks technique |
| author_sort |
Hsuan-Ming Hsu |
| title |
Image segmentation using a combined DCT and neural networks technique |
| title_short |
Image segmentation using a combined DCT and neural networks technique |
| title_full |
Image segmentation using a combined DCT and neural networks technique |
| title_fullStr |
Image segmentation using a combined DCT and neural networks technique |
| title_full_unstemmed |
Image segmentation using a combined DCT and neural networks technique |
| title_sort |
image segmentation using a combined dct and neural networks technique |
| publishDate |
2005 |
| url |
http://ndltd.ncl.edu.tw/handle/01765362348595012247 |
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