安全玻璃中气泡的自动检测研究

The Automatic Detection of Air Bubble in Safety Glass

耐环境性试验是安全玻璃强制检验的内容之一。经过耐环境性试验后的安全玻璃产品中气泡的检测和识别是判定产品是否合格的重要依据。根据玻璃气泡图像的特点,提出了一种安全玻璃气泡的自动检测算法。首先采用基于数学形态学的方法对原图像进行了目标增强;然后进行图像分割;采用孔洞填充和数学形态学法进行修正;最后进行特征提取,获得玻璃气泡的边缘信息。实验结果显示,该算法能准确的检测出安全玻璃中的气泡,具有一定的应用价值。

resistance-to- environment test is one of the compulsory detection contents to safety glass.The detection and recognition of air bubble in safety glass after resistance-to- environment test is the important basis to determine whether the product is qualified. According to the characteristic in safety glass air bubble image, proposed one kind of automatic detection algorithm to safety glass air bubble. First carried on the goal enhancement to the original image based on mathematics morphology method , Then carry on the image segmentation; use the way of idling and mathematics morphology method to amend ; Finally carry on the characteristic extraction, obtain the edge information of the glass air bubble. The experimental result showed that, this algorithm can correctly detect the air bubble in safety glass and have certain application value.