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題 名 | 影像處理與統計分類器應用於玫瑰切花分級之研究=Cut Roses Grading using Image Processing and Statistical Classifiers |
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作 者 | 李芳繁; | 書刊名 | 農林學報 |
卷 期 | 46:1 1997.01[民86.01] |
頁 次 | 頁95-109 |
分類號 | 435.415 |
關鍵詞 | 統計分類器; 玫瑰; 影像處理; 分級; Statistical classifier; Roses image processing; Grading; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究使用影像處理技術及統計分類器進行玫瑰切花品質分級。品質分級是依據 花莖的直度、花莖的粗細以及花苞的開度。花莖直度的描述參數是花莖最大偏移矩離和花莖 彎曲角度;花莖粗細的描述參數是花莖中間直徑及花莖底端直徑;花苞開度的描述參數是花 苞投影面積。所使用的統計分類器有最小矩離分類器、Fisher 線性分類器及 Bayes 分類器 。 經使用不同的描述參數和不同的分類器進行分級, 以 Fisher 線性分類器的分級正確率 69 %為最高。 |
英文摘要 | Image processing techniques and statistical classifiers were used to grade cut roses. Grading was based on the straightness of the stem, the diameter of the stem, and the maturity of the bud. The descriptors of the stem straightness were the maximum deviated distance, and the crooked angle; the descriptors of the stem diameter were the middle diameter, and the bottom diameter; for bud maturity, the descriptor was the projected area of the bud. The statistical classifiers were the minimum distance classifer, the Fisher's linear classifier and the Bayesian classifier. Different descriptor combinations were utilized for grading, and the best grading accuracy rate was 69%, compared with manual grading results, using the Fisher's classifier. |
本系統中英文摘要資訊取自各篇刊載內容。