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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Portrait Image Segmentation Based on Improved Grabcut Algorithm
verfasst von : Shuai Li, Xiaohui Zheng, Xianjun Chen, Yongsong Zhan
Erschienen in: Advances in Swarm and Computational Intelligence
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Traditional computer portrait caricature system mainly take the method that exaggerate and deform real images directly, that lead the facial image background also been deformed when exaggerate facial image. If in pretreatment stage, we segmented the characters and background of the input image, and then do the subsequent processing, the problem may be solved. But for better portrait caricature effects, we need an excellent segmentation algorithm. So, we propose an improved Grabcut image segmentation algorithm and use it to extract the prospect character image for exaggeration and deformation. In practical application, we separate deform and exaggerate the foreground characters image with TPS method, then fuse it with the original or new background picture, get the final image. Application proves, the method solves the background deformation problem well, and improves the quality and rate of image segmentation, caricature synthesis effect reality and natural.