Image Segmentation of Inductors Laser Thermal Imaging Based on Watershed Algorithm
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摘要: 激光热成像是一种检测电感微裂纹的新方法，但批量自动检测时电感彼此靠近易导致定位错误和误检。根据激光扫描和热成像检测过程分析图像特征，提出求取温度梯度图并利用次大值滤波消除其激励非均匀性，采用形态学操作断开样品粘连处并去除干扰噪声点；通过距离变换结合分水岭算法得到电感图像分割结果。实验结果表明：该方法实现了对批量铁氧体电感图像的自动分割提取，为后续铁氧体电感试样的分选打下良好基础。Abstract: Laser thermography is a new method to detect micro cracks in inductors, but the proximity of inductors in batch automatic detection made it easy to cause positioning errors and false detection results. According to the analysis of image features in the process of laser scanning and thermal imaging detection, a new method was proposed to obtain the temperature gradient map and eliminate its excitation nonuniformity by using the sub maximum filter, and to disconnect the adhesion of samples and remove the interference noise points by using morphological operation. The inductance images were segmented combining distance transformation with watershed algorithm. The experimental results show that the method realizes the automatic separation and extraction of ferrite inductor from image, which lays a good foundation for the separation of ferrite inductors.
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图 5 原始图像距离变换和分水岭分割
Figure 5. Distance transformation and watershed segmentation of original image
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图 6 形状变换后的距离变换和分水岭分割
Figure 6. Distance transformation and watershed segmentation after shape transformation
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