The Image Region Representation Based on Watershed Algorithm
碩士 === 義守大學 === 資訊工程學系 === 102 === Advancement of technology is most frequently used digital image data . There are many different image representation developed for several kinds of image application. The suitable represent method would improve the image applications. In this thesis, we propose a m...
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ndltd-TW-102ISU053920192015-10-14T00:23:51Z http://ndltd.ncl.edu.tw/handle/60664732591681463930 The Image Region Representation Based on Watershed Algorithm 基於分水嶺演算法之影像區域表示法 Rong-Fong Cai 蔡榮峯 碩士 義守大學 資訊工程學系 102 Advancement of technology is most frequently used digital image data . There are many different image representation developed for several kinds of image application. The suitable represent method would improve the image applications. In this thesis, we propose a method to represent the image based on the image color constitute region, to retain the color texture information, and to reconstruct image by interpolation. First, we segment the image by the watershed algorithm to get color gradient direction as the texture information, and then represent the image content by asymmetric and anti-packing model. The gradient direction would indicate the color trend layer and the image would be decomposed into multiple tone area. Finally, records in each region of the image intensity extreme value and the gradient change direction are saved. By the way, the image intensity of rest position would be calculated by linear interpolation. The experiments prove that limiting the amount of intensity change will affect the segmentation of watershed and the color reconstruction of linear interpolation. When the image intensity tendency is small variation, the fewer color composition regions are used to represent the image and the distortion is small, otherwise it needs more color composition regions to represent the image content. Chien-Hsing Huang 黃健興 2014 學位論文 ; thesis 73 zh-TW |
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碩士 === 義守大學 === 資訊工程學系 === 102 === Advancement of technology is most frequently used digital image data . There are many different image representation developed for several kinds of image application. The suitable represent method would improve the image applications. In this thesis, we propose a method to represent the image based on the image color constitute region, to retain the color texture information, and to reconstruct image by interpolation.
First, we segment the image by the watershed algorithm to get color gradient direction as the texture information, and then represent the image content by asymmetric and anti-packing model. The gradient direction would indicate the color trend layer and the image would be decomposed into multiple tone area. Finally, records in each region of the image intensity extreme value and the gradient change direction are saved. By the way, the image intensity of rest position would be calculated by linear interpolation.
The experiments prove that limiting the amount of intensity change will affect the segmentation of watershed and the color reconstruction of linear interpolation. When the image intensity tendency is small variation, the fewer color composition regions are used to represent the image and the distortion is small, otherwise it needs more color composition regions to represent the image content.
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author2 |
Chien-Hsing Huang |
author_facet |
Chien-Hsing Huang Rong-Fong Cai 蔡榮峯 |
author |
Rong-Fong Cai 蔡榮峯 |
spellingShingle |
Rong-Fong Cai 蔡榮峯 The Image Region Representation Based on Watershed Algorithm |
author_sort |
Rong-Fong Cai |
title |
The Image Region Representation Based on Watershed Algorithm |
title_short |
The Image Region Representation Based on Watershed Algorithm |
title_full |
The Image Region Representation Based on Watershed Algorithm |
title_fullStr |
The Image Region Representation Based on Watershed Algorithm |
title_full_unstemmed |
The Image Region Representation Based on Watershed Algorithm |
title_sort |
image region representation based on watershed algorithm |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/60664732591681463930 |
work_keys_str_mv |
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