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題 名 | 機器視覺於番茄大小選別作業之應用=Tomato Sorting with Machine Vision |
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作 者 | 林聖泉; 藍光宏; | 書刊名 | 農林學報 |
卷 期 | 45:4 1996.12[民85.12] |
頁 次 | 頁111-124 |
分類號 | 434.251 |
關鍵詞 | 番茄; 機器視覺; 選別; Tomato; Machine vision; Sorting; |
語 文 | 中文(Chinese) |
中文摘要 | 本文利用CCD攝影機擷取番茄影像,應用影像處理之技術,配合面積法、周長法、 與半徑法等三種演算法則,分別計算番茄影像之面積像素點數、邊界長度、與近似圓形半徑 ,進而判定番茄之等級。其中面積法之計算方式最為簡單,唯耗時最多;周長法之計算方式 較為複雜;半徑法係利用二條掃瞄線,以三點計算圓之圓心與半徑,計算時間最少,處理一 個番茄僅需 0.084sec。 選別正確率方面,面積法為 92.6 %,周長法為 83.3 %,半徑法 為 96.3 %,其中以半徑法為最好。 |
英文摘要 | A CCD camera was used to grab the image of tomatoes. Three algorithms, the AREA, the PERIMETER, and the RADIUS were developed to compute the number of pixels, the length of the boundary, and the radius of the image of tomato. Based on those informations, the grade of tomato can be determined. Among those algorithms, the AREA method is the simplest one, but it takes the longest time in the sorting process. The PERIMETER method is the most complicated one. The RADIUS method uses only two scanned lines and three points to determine the center and radius of the circle while taking the least time. Regarding to the correctness in sorting, the AREA method is 92.6%, the PERIMETER method is 83.3%, and the RADIUS method is 96.3%. However, the RADIUS method is the best one. |
本系統中英文摘要資訊取自各篇刊載內容。