A neural network method was used to process image of welding pool and the result of detecting the edge of binary image with BP neural network was excellent.
探索了将神经网络用于焊接熔池图像处理的方法，采用BP神经网络对二值化熔池图像进行边缘提取，取得了理想的效果。
The process of image treatment is as follow: filter, enhance, making binary image by adaptive threshold, edge detection and so on.
本文所采用的图像处理主要步骤为：滤波、增强、自适应阈值二值化、边缘提取等预处理。
The whole process is the morphology processing based on the gray-level image and binary mask, and is simple and easy to implement.
整个过程基本是对灰度图像和二值模板的形态处理，简单易行。
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