| dc.description.abstract | In recent years, there are more and more applications of machine vision in the industrial world, especially in material cutting and engraving, the input is mostly images. In order to make the input image meet the needs of users, users often need to pre-image Processing, and then input to the machine for processing, increasing the difficulty of use, and the general tool machining is mostly in the XY direction. If the image is more complicated, the processing path may not be the best path, resulting in time cost, so this study Hope to combine image processing and path planning, and propose a new path planning method.
This research uses C# as the development language, combined with machine learning and fuzzy theory, so that the images can be automatically grouped and cut to meet the needs of users, and the contour tracking generates a path plan that is different from the general XY direction, and discusses such as the pros and cons of Cluster Analysis, the effect of image processing and the advantages and disadvantages of path planning.
Keyword：Image processing、Fuzzy Theory、Route Plan | en_US |