Abstract
Recently the method restoring an old picture using the local differential equation on the basis of the geometric measure is proposed. It is necessary to restore an old film and a medical image with noise as well as an old picture. So we extend the method applying for the two dimentional image such as a picture to the three dimensional image such as a time sequence image and a medical image. It is necessary to obtain an object boundary from the original image in order to generate a composite image of good quality, which is difficult to distinguish from the original image. If an object boundary can not be detected, it is difficult to remove the object. In this study, we propose a method for detecting an object boundary and removing it and inpainting its image in a manner that makes it difficult to distinguish from the original image. We extend the image partition method based on the level set method to the method applying for the movie and the medical image to detect an object boundary. We demonstrate its effectiveness by removing a terop from a movie and a tumor from a three dimensional medical image.
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Morita, S. (2006). Three Dimensional Image Inpainting. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_94
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DOI: https://doi.org/10.1007/11881223_94
Publisher Name: Springer, Berlin, Heidelberg
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