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- W4234836477 abstract "摘要 應用機器視覺(machine vision) 於物體自動辨識與量測中，是目前重要的問題。本文提出一套結合模糊K鄰近(fuzzy K-nearest neighbors) 集群分析法和倒傳遞類神經網路(back-propagation neural network) 的二維物體辨識系統。辨識方法主要分成下列幾個步驟：首先取得物體的影像後，求得其輪廓支配點(dominantpoint)，並計算連續三個支配點所形成的三角形夾角的餘弦値(cosine)與緊密度(compactness)等作爲特徵値。其次，運用模糊K鄰近集群分析法將特徵値作適當的分類，最後將分類後的特徵値代入倒傳遞類神經網路模式中訓練測試，以辨識出正確的影像。由實驗結果得知，此方法可以有效地辨識物體，且其辨識率約爲95%。" @default.
- W4234836477 created "2022-05-12" @default.
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- W4234836477 date "2000-05-01" @default.
- W4234836477 modified "2023-10-18" @default.
- W4234836477 title "自動化二維物體辨識" @default.
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- W4234836477 doi "https://doi.org/10.1080/10170669.2000.10433303" @default.
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