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應用機器視覺選別蘋果與柳丁之研究

Apple and Orange Sorting with Machine Vision

摘要


本研究設計製造一組水果選別裝置,由推桿機構與影像處理系統所組成。利用推桿機構使水果滾動,並運用CCD攝影機連續取像,每一次可同時對兩排-每排各有3個-共6個之水果擷取影像,連續取三張像,經影像處理後即可計算最前端兩個水果之平均周長值,依序連續取像,並持續計算水果之平均周長值。本研究選擇蘋果與柳丁做為試驗對象,根據試驗結果顯示,推桿機構以2.1cm/sec速率前進,每粒水果完成周長計算的平均時間為3sec,而周長所計算之平均精確度:蘋果為95.9%,而柳丁可達97.0%。

關鍵字

蘋果 柳丁 選別系統 機器視覺

並列摘要


A fruit sorting machine that consists of a push-rod mechanism and an image processing system had been developed in this study. The image of fruit was grabbed by a CCD camera while the fruit was rolling due to the push- rod mechanism. The CCD camera could grab two rows-each row contained 3 fruits-that was a total of 6 fruits in one image. The perimeters of two fruits in the front of two rows could be evaluated after completing the image processing of three consecutive images. Two kinds of fruits, apple and orange, were used to test the machine. According to the results, when the speed of the push-rod mechanism was 2.1 cm/sec, the average time spent on calculating fruit perimeter is about 3 sec, and the precision in average is 95.9% and 97.0% for orange.

並列關鍵字

Apple Orange Sorting System Machine Vision

被引用紀錄


謝其甫(2010)。五軸工具磨床刀具研磨影像檢測系統開發〔碩士論文,國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-1306201012222200

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