| 研究生: |
陳建祥 Chen, Jian-Siang |
|---|---|
| 論文名稱: |
應用影像處理於相移條紋圖像之偵錯及升溫取像研究 Application of Image Processing Technique for Error Detection of Phase-Shifting Fringe Patterns and Capture of Thermal Images |
| 指導教授: |
陳元方
Chen, Yuan-Fang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2011 |
| 畢業學年度: | 99 |
| 語文別: | 中文 |
| 論文頁數: | 76 |
| 中文關鍵詞: | 陰影疊紋法 、鑽石砂輪 、印刷電路板 、升溫影像 |
| 外文關鍵詞: | Shadow moiré method, Grinding Wheel, Printed circuit board, thermal images |
| 相關次數: | 點閱:179 下載:18 |
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鑽石砂輪表面有人工鑽石,而印刷電路板上有許多凹洞,這些鑽石或凹洞會在相位移條紋圖中造成錯誤的灰階,因此會造成三維形貌的計算錯誤。在升溫取像中,由於加熱燈管亮度會影響到條紋圖像的灰階,所以必須先關閉加熱燈管然後再擷取影像,因此設定開始擷取影像的條件會影響到等待的時間以及擷取時溫度。
本文利用四影像平均法與影像平均相減法,繪出直方圖並設定臨界值,以區分條紋圖上的亮、暗點,並將所搜尋出的點以周圍正確的灰階平均取代。所搜尋出的亮、暗點顆粒大小與實際的顆粒大小會有0~2個像素的誤差,因此會造成像位展開錯誤,利用中值濾波來消除此誤差使其能順利相位展開。另外在升溫取像中,則是利用偵測溫度法與偵測灰階法來判斷取像時機,比較偵測溫度法與偵測灰階法所需時間及擷取時溫度,可看出偵測灰階法所需等待時間較短,且溫度愈接近常溫所需等待時間愈短。
Grinding wheel surface contains artificial diamonds. And printed circuit board contains many cavities on the surface. These diamonds and cavities lead to wrong gray level on phase-shifting patterns, and results the error when calculating 3D surface profile. Because the light of the heating tube will influence the gray level of phase-shifting patterns, it needs to shut down the heating tube first and then capture the images. Setting the conditions of when to begin to capture the images will affect the time we wait and the temperature we capture.
In this article, four frames average method and average subtraction method are used to draw the histogram and set thresholds to distinguish bright spots and dark spots on the phase-shifting patterns. Then all the gray level of these spots is replaced by the gray level of averaging gray level in local neighborhood. Besides, we use detection of temperature method and detection of gray level method to decide the timing of capturing images.
The error of the size of bright spots and dark spots between real and our experiment are 0~2 pixels, so it makes wrong phase unwrapping. In the article, median filtering is used to eliminate the error and unwrap phase smoothly. While capturing thermal images, we compare the time we wait and the temperature we capture in detection of temperature method by detection of gray level method. It can be obviously noted that the time is shorter in detection of gray level method and it is even more obvious when the temperature is more close to room temperature.
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