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An Automatic Image Inpainting Algorithm Based on FCM

机译:一种基于FCM的自动图像修复算法

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摘要

There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area by fuzzy C-mean (FCM) algorithm. FCM algorithm classifies the image pixels into a number of categories according to the similarity principle, making the similar pixels clustering into the same category as possible. According to the provided gray value of the pixels to be inpainted, we calculate the category whose distance is the nearest to the inpainting area and this category is to be inpainting area, and then the inpainting area is restored by the TV model to realize image automatic inpainting.
机译:存在许多现有的图像修复算法,其中应该由用户手动确定修复区域。目的,目的是传统图像修复算法的缺点,本文提出了一种自动图像修复算法,通过模糊C均值(FCM)算法自动识别修复区域。 FCM算法根据相似性原理将图像像素分类为多个类别,使得与尽可能相同的像素聚集成相同的类别。根据要染色的像素的灰度值,我们计算距离是最接近的初始化区域的类别,此类别是透染区域,然后由电视模型恢复修复区域以实现自动图像逼真。

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