Stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter
Stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter
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DOI：
10.1145/1900179.1900186
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
Meng-Cheng Huang;Meng Yang;Fang Liu;E. Wu
中科院分区：
文献类型：
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作者：
Meng-Cheng Huang;Meng Yang;Fang Liu;E. Wu
提出了一种边缘增强的各向同性非线性滤波器，用于卡通图像的笔划提取。该算法首先使用自适应阈值去除具有高亮度值的大多数非笔划区域。针对卡通图像轮廓线较暗的特点，采用高斯拉普拉斯滤波器增强笔画边界像素的各向同性响应。与现有的笔画提取方法相比，我们的算法可以完整地提取笔画，并忠实地保留笔画边界上的细节，特别是对噪声图像。实验结果表明，该算法对多种风格的卡通图像都能产生较好的鲁棒性和准确性。
This paper presents an edge-enhanced isotropic nonlinear filter to extract strokes from cartoon images. The algorithm starts by removing most non-stroke regions that have high brightness values using an adaptive threshold. According to the property of dark outline in cartoon images, A Laplacian of Gaussian filter is applied to enhance the isotropic responses of boundary pixels in the stroke. Compared to existing stroke extraction methods, our algorithm can extract strokes in its entirety, and faithfully preserve the details on the stroke boundaries, especially for noisy images. Experimental results show that the proposed algorithm can produce more robust and accurate extraction results on a variety style of cartoon images.