Effective Binarization for Historically Degraded As-built Drawing Maps Using End-to-end Fully Convolutional Network
碩士 === 國立臺灣科技大學 === 資訊工程系 === 106 === Binarizing historically degraded as-built drawing (HDAD) maps is a very important and necessary task because after that, the subsequent manipulations, such as the digitization, editing, retrieval, and compression, can be followed. Based on end-to-end fully convo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/f79m73 |