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應用改良式Watershed技術進行高解析衛星影像影像分割

A Modified Watershed Technique for Segmentation of High Resolution Satellite Images

摘要


應用Watershed技術進行影像分割在影像處理上是一種常用的方法,然而此法在使用上仍須配合適當之影像勻化處理程序來降低影像複雜度以避免影像過度分割之結果。事實上,若此勻化處理程序之選擇不適當時,不但會造成影像細部資訊之損失並且會降低所偵測出之特徵精確度。為了改善這些缺點,本文根據特徵邊緣過濾技術來改良傳統Watershed影像分割法並應用於高解析衛星影像之分割。在本文中分別應用QuickBird以及IKONOS兩個資源衛星之多光譜與全色態影像來進行測試,在測試結果中可發現本文所提之方法可針對不同之影像特徵產生合理之影像分割結果。

並列摘要


Watershed segmentation is a widely used technique for image partitioning. However, over-segmentation normally occurs when the smoothing process is not operated properly. For example, improper selection of smoothing scheme and parameters will not only wipe out the detail of image content but also affect the accuracy of following feature extraction. In order to overcome these drawbacks, a modified watershed segmentation method based on the edge intensity filtering is proposed. An experiment using both QuickBird multi-spectral and panchromatic images is performed to test the proposed scheme. The result shows that the proposed scheme can generate reasonable and simplified segmentation output for different type of objects.

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