Bubble detection improved by using arc detection

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 學位論文 > Item 987654321/74554

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题名:	Bubble detection improved by using arc detection
其它题名:	藉由弧探索改善泡泡探索
作者:	安久知弘;Ankyu, Tomohiro
贡献者:	淡江大學資訊工程學系碩士班洪文斌;Horng, Wen-Bing
关键词:	弧探索;圓探索;邊緣探索;Arc Detection;Circle Detection;Edge detection
日期:	2011
上传时间:	2011-12-28 18:51:37 (UTC+8)
摘要:	在這份論文裡，各種大小的弧形都將被我們所提出的方法正確偵測出來。這是此份研究最重要的部分。將全部的弧形偵測出來後，我們還要估算出圓的總面積，因為這份研究的主要目的在於估算出泡泡在風力發電機表面上的總面積。即使這項研究的主要目的是要估算出所有在風力發電機上的泡泡的總面積，在這份論文中，估算完泡泡總面積後，我們還會加入圓形偵測的程序來描繪出泡泡的輪廓。我們增加程序來繪出泡泡輪廓是因為過程中有發生測量的錯誤，即使測量的錯誤接受度很低。事實上，我們能夠加以運用描繪泡泡輪廓的過程計算出正確的面積。我們需要運用圓周偵測來偵測圓形的輪廓。我們提到的方法圓形偵測的是由Hough transform來處理。我們在堆疊中找到相對的高映像點做為圓心候補。然後我們再畫個圓心候補的的圓形。 In this paper, whatever sizes of circles are small or large, all arcs of circles on images are able to be detected by our proposed method, correctly. This is the most important point of this research. After detecting arcs, we are going to evaluate total area of circles on surface of image, because the main purpose of this research is to attribute to evaluate total area of bubbles on surface of wind turbine. Even though the main purpose of this research is to evaluate total area of all bubbles on surface of wind turbine, in this thesis we will add the processes to draw contour of bubble by circle detection after evaluating total area of bubbles. The reason which we add the processes to draw contour is the processes have measurement error even though the measurement error is acceptable low. In fact, we can calculate accurate area by applying the process of drawing contour of bubble. We need to apply circle detection to detect contour of circle. Our proposed method of circle detection is by Hough transform. We detect the comparatively high pixels of accumulation as center candidates. Then we draw circles after finding the center candidates. In addition to evaluating accurate area, the proposed method has advantages like the followings. By our original method, it is also possible to detect circles which have shortages, overlapped parts, theoretically. It is difficult to detect edges and area and contours of circles which have different sizes. We demonstrate accuracy of our proposed method by comparing our proposed methods with other possible methods.
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