查詢結果分析
來源資料
頁籤選單縮合
題 名 | 使用彩色機器視覺選別落花生仁 |
---|---|
作 者 | 許獻成; 李芳繁; | 書刊名 | 農業工程學報 |
卷 期 | 40:4 1994.12[民83.12] |
頁 次 | 頁65-76+45 |
分類號 | 434.251 |
關鍵詞 | 機器視覺; 影像處理; 落花生仁; 選別; Machine vision; Image processing; Peanut kernels; Sorting; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究使用影像處理技術分析靜態落花生仁影像,並使用機器視覺選別動態落花生仁。選別機之主要設備包括兩部攝影機、影像擷取卡、影像處理加速卡以及微電腦;並以微處理器介面技術控制取像及吹氣時間。 研究過程是:首先分析靜態花生仁影像,建立去除不良落花生仁之方法。然後分析動態影像,探討靜態與動態選別分劃值之差異。最後使用兩部攝影機擷取與分析落花生仁不同兩面之影像,進行動態選別試驗。 由靜態影像分析之結果得知:重度顏色不正常落花生仁可以損壞比率值做為選別參數;輕微顏色不正常落花生仁可以壞比率值及平均色相值做為選別參數;皺皮落花生仁可以平均一次差分值做為選別參數;發芽落花生仁可以細密度值做為選別參數;破粒落花生仁可以平均色相值及損壞比率值做為選別參數。 動態選別時,不良落花生仁之判別方法與靜態選別者相同,惟動態選別時之樣品不包括皺皮及發芽落花生仁。每一顆落花生仁動態選別所需之時間為0.44秒;動態選別之選別正確率為94.8%。 |
英文摘要 | This study analyzed the images of the stationary peanut kernels by using image processing and sorted the moving peanut kerneks by machine vision, The main equipment of the sorting machine are two CCD cameras, a color frame grabber, a high speed frame processor, and a microcomputer. Furthermore, the technology of microprocessor interface was used to control the image grabbing time and the air blowing time. In this study, images of the stationary samples were analyzed first to establish the methods to remove bad kernels. Then, the images of the moving samples were analyzed to investigate the difference between the thresholds of the static and dynamic sorting tests. Finally, the dynamic sorting test was conducted by using two cameras to grab two different sides of the sample and analyzing these two images immediately. The results of the stationary images analyses reveal that the damage ratio can be used as the sorting parameter for the seriously abnormal-colored kernels; the damage ratio and the average hue have to be used as the sorting parameters for slightly abnormal-colored kernels; the average first difference can be used to remove the shrunk kernels; the compactness can be used to remove the kernels with sprout; and the average hue and the damage ratio are needed to sort out the broken samples. In dynamic sorting test, the sorting parameters used were the same as those used in static sorting test; however, the shrunk samples and samples with sprout were not included in dynamic test. In dynamic test, it took about 0.44 seconds to sort a sample and the sorting accuracy rate is 94.8%. |
本系統中英文摘要資訊取自各篇刊載內容。