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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/6879


    Title: 結構化正交運算子於頂角偵測之研究
    Structured or thogonal operator s for corner detection
    Authors: 郭晉魁
    Keywords: 頂角偵測
    正交運算子
    多重尺度分解
    Corner detectio
    Orthogonal operator
    Multi-scale decomposition
    Date: 2001-07-31
    Issue Date: 2009-12-31 16:04:04 (UTC+8)
    Abstract: 本文研究不同解析度及結構的正交運算子在影像頂角偵測時的特性。以往在多重尺度的方法上,須將影像分解濾波再重建後才能偵測,對於每一階影像採用相同尺度的運算子。本文提出的方法,並不需要將影像逐階分解,而是對不同階的運算子設定適當的尺度,再合併各階所獲得的資訊來偵測頂角,以節省計算時間。實驗結果顯示,此方法對於30°至150°的頂角有良好的偵測效果。
    We studied the results of applying structured orthogonal operators to corner detection at different levels and scales. Traditionally, an image was decomposed into multi-level images and the operators of the same scale were then applied. Instead, in this report we proposed a method without decomposition of images. The proposed method used operators at different levels of angles. At each level a proper size of the operator was assigned. The responses of the operators at each level were then combined to detect corners. The method can detect corners of angles between 30°and 150° well.
    Appears in Collections:[電子工程系所] 研究計畫

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