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Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation

机译:基于顶帽变换和连接区域分割的铝箔纹理检测

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A new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with the brightness method, pit detection method, and EBSD technology, this method can complete quantitative detection efficiently, automatically, and accurately, and reduce the detection time and manpower. It eliminates the instability of manual detection and ensures the accuracy of detection. By this method, the error of test results can be controlled within 1.6%, which is much better than 7.3% of the brightness method and 4% of the pitting method. It provides more accurate test results for the production process control of aluminum foil.
机译:提出了一种新的基于数字图像处理技术的铝箔纹理检测方法。基于连接域的顶帽变换和图像分割技术用于通过使用人类体验来改变确定纹理分数的方法。与亮度法,坑检测方法和EBSD技术相比,该方法可以有效,自动,准确地完成定量检测,并减少检测时间和人力。它消除了手动检测的不稳定性并确保了检测的准确性。通过这种方法,测试结果的误差可以控制在1.6%之内,比亮度方法的7.3%好,4%的拟点方法。它为铝箔的生产过程控制提供了更准确的测试结果。

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