篇名 | 非織造材料圖像融合用於纖網取向分析 |
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卷期 | 22:3 |
並列篇名 | Application of image fusion technology in nonwoven |
作者 | 王榮武 |
頁次 | 136-140 |
關鍵字 | 非織造材料 、 纖維取向分佈 、 多圖層圖像融合 、 邊界曲線分析 、 Nonwoven 、 fiber orientation distribution 、 image fusion 、 fiber boundary analysis |
出刊日期 | 201509 |
本文首先對非織造材料進行同視野多個據焦平面連續圖像採集;再將這些圖像融合成一幅清晰 的圖像,之後利用邊綠檢測運算元提取纖維邊界;最後計算纖維段切線角度積分,從而快速準 確地計算非織造材料纖維取向。由人工對電鏡圖片進行測試驗證及短隔距力學拉伸實驗進行結 果驗證表明本文提到的新方法可以精確迅速地測量非織造材料的纖維取向情況。
The application of image fusion technology in nonwoven was discussed. Firstly, the nonwoven's images that in the same vision and different focal plane are captured. Secondly, these images are composited one image which is clear. Then, canny boundary detector was used to extract fibers' two edges under complex conditions to indicate fiber orientation • Finally, the fiber's orientation angle was calculated to find the fibers' orientation of the nonwoven sample. Through the manual testing of electron micrograph and mechanical measuring, the method of image fusion can measure the fibers' orientation of nonwoven rapidly and accurately.