影像處理是近年來很熱門的研究課題，而鐵塔鍍鋅層及塗膜劣化影像分析及資料庫建立的研究目標是欲利用各種影像處理的工具與技術，發展出一套自動化的檢測系統，能精準、簡單且快速的來檢驗分佈於全台各地的鐵塔的腐蝕劣化。只需將欲檢測的鐵塔依制訂的規格拍攝照片，透過系統影像處理程序便能判斷腐蝕劣化的結果提供台電相關人員作為檢點、維修、汰換等依據。依目前台電公司所保有的鐵塔種類可區分為兩類，一類為鐵塔表面只進行熱浸鍍鋅表面處理，而其損害情形大致為合金層銹蝕；另一類為熱浸鍍鋅之後再塗上油漆的雙重防蝕，此類型包括有機塗膜的劣化判斷損害情形較為複雜，其可能的情形粗分為銹蝕、發泡與龜裂。

Image processing has been a popular research topic in recent years. In this thesis, the method proposed by us aims at utilizing various image processing tools and techniques to develop an automatic detection system which is capable of delivering accurate analysis based on the photos (taken according to the relevant specifications) of the power towers and then provides a guideline to the Taiwan Power Company (TPC) for further repair and replacement. At present, power stations owned by TPC include two major categories: (1) Power stations with just one layer of zinc coating for protection. Damages to this type of power stations are mainly corrosion; (2) Power stations with one layer of zinc coating and one layer of paint coating for protection. Damages to this type of power stations are more complex, which may include corrosion caused by rust, foaming, and cracking.

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