Abstract Currently, new energy industries such as electric vehicles and storage batteries are experiencing rapid growth throughout the world. As a recognized ideal element, lithium have also attracted considerable interest. To improve image contrast, industry employs preprocessing algorithms. Due to high requirement of consistency in template matching method, which is difficult meet practice, l...

Steel pipes are widely used in high-risk and high-pressure scenarios such as oil, chemical, natural gas, shale etc. If there is some defect steel pipes, it will lead to serious adverse consequences. Applying object detection the field of deep learning pipe weld identification can effectively improve inspection efficiency promote development industrial automation. Most predecessors traditional c...

In this work a colour image segmentation method for wood surface defect detection is presented. In an automated visual inspection system for wood boards, the image segmentation task aims to obtain a high defect detection rate with a low false positive rate, i.e., clear wood areas identified as defect regions. The proposed method is called FMMIS (Fuzzy Min-Max neural network for Image Segmentati...