Development of an Imaging Approach for Automatic Fish Identification
碩士 === 國立臺灣大學 === 生物產業機電工程學研究所 === 105 === In recent years, international organizations have regulated fishery in public seas to conserve marine ecosystems. Automatically identifying the types of fish catch is one of the most impartial approaches for monitoring fishing practices. Hence, this study p...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2017
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Online Access: | http://ndltd.ncl.edu.tw/handle/46588z |