Background texture suppression and defect extraction of high-speed milling surface image
Background texture suppression and defect extraction of high-speed milling surface image is a scholarly work, published in 2018 in ''International Journal of Mechatronics and Manufacturing Systems''. The main subjects of the publication include image, optoelectronics, noise reduction, artificial intelligence, texture, image segmentation, surface, Image texture, machining, pattern recognition, materials science, computer science, segmentation, texture filtering, feature extraction, computer vision, filter, energy, and mathematics. The paper proposed a method to extract the machine defect from the surface images of high-speed milling workpiece and reduced the impact of workpiece surface background texture.