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頁籤選單縮合
題 名 | Pattern Recognition by Invariant Morphological Feature Extraction=不變性形態學特徵之圖形辨識 |
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作 者 | 汪順祥; 孫珮琴; | 書刊名 | 大同學報 |
卷 期 | 26 1996.11[民85.11] |
頁 次 | 頁79-89+408 |
分類號 | 448.5 |
關鍵詞 | 不變性形態學; 圖形辨識; |
語 文 | 英文(English) |
中文摘要 | 在許多應用上,圖形辨識扮演很重要的角色。在文獻中,眾多方法關於如何抽取不受物體旋轉、平移、大小尺寸改變的特徵已被討論和被發表。,本文中提出一種基於型態學的特徵抽取方法,首先討論多層次分解,並導入圖形頻譜的概念,接下來提出一個稱為多尺度圖形頻譜的新的特徵抽取的方法,以應用於圖形辨識,經由探討多尺度圖形頻譜對於雜訊的免疫力,我們將所發展的方法推展至頻域。最後,並以實驗驗證其辨識的高效率。 |
英文摘要 | Pattern recognition plays an important role in many industrial applications. Many methods about how to extract features of an object in scene regardless of its variantions of positions, rotations, and scales have been investigated in the literature. In this paper, we develop a novel feature extraction method based on mathematical morphology. The concepts of multiscale decomposition and pecstrum (pattern spectrum) has been combined to devise a new feature extraction method called multiscale pecstrum. By investigating the noise immunity of the multiscale pecstrum, it is found that the multiscale pecstrum in frequency domain achieves better performance. Finally, experimental results are given to show the high performance for pattern recognition. |
本系統中英文摘要資訊取自各篇刊載內容。