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Research on Image Segmentation of Digital Rubbings Based on OTSU Threshold and Genetic Algorithm

This paper studies the binarization method of rubbings' image by analyzing the characteristics. Firstly, the segmentation results of iterative threshold segmentation and adaptive segmentation are given. It is shown that the general segmentation effect is not suitable for some images. Then, the segmentation principle of OTSU and genetic algorithm are given, and the segmentation results are verified by experiments. The experimental result shows that compared with the OTSU algorithm, the image segmentation method based on genetic algorithm can not only separate the target from the background effectively, but also filter out the large amount of image when segments the inscription image which is dim and it is indistinguishable between the target and background. At the same time, it retains the edge of the text strokes, as much as possible to restore the original image of rubbings face.