以機器視覺分級文心蘭切花之研究

Oncidium cut flower grading with machine vision

席友亮(Yu-Liang Hsi) ； 李芳繁(Fang-Fan Lee)

《農業機械學刊》 10卷1~4期 (2001/03) Pp. 17-30

https://doi.org/10.30062/JAM.200103.0002

摘要

本研究之目的是使用機器視覺技術萃取文心蘭切花之特徵參數，以進行文心蘭切花之分級。本文使用兩種方法對文心蘭切花進行分級。第一種方法係依據文心蘭切花分級標準加以分級，所使用之分級參數有花部長、莖部長及分枝數。第二種方法係使用類神經網路對切花分級，輸入網路的參數有花部投影面積、花部邊界長度、花部長、莖部長、切花中間部分莖粗以及莖部底端莖粗。第一種分級方法之分級結果與人工分級結果比較，相符的程度為72%，而第二種分級方法之分級結果與人工分級比較，相符程度為79%。

關鍵字

文心蘭 ； 分級 ； 機器視覺 ； 類神經網路

並列摘要

The objective of this study is to use digital image processing techniques to extract feature parameters of oncidium cut flowers for grading. Two methods were employed to grade the cut flowers. The first method utilized the length of the flower part, the length of the stem part, and the number of branches to grade the flowers according to the grading criteria of oncidium cut flowers. The second method used an artificial neural network to grade the cut flowers. The projected area of the flower part, the boundary length of the flower part, the length of the flower part, the length of the stem part, and the stem diameters of the cut flower in the middle as well as at the end of the stem were used as the grading input parameters to the neural network. The grading accuracy of the first method was 72% compared with manual grading results, while the grading accuracy was 79% for the second method.

並列關鍵字

Oncidium ； Grading ； Machine vision ； Artificial neural network