Rough and accurate segmentation of natural images using fuzzy region-growing algorithm
Rough and accurate segmentation of natural images using fuzzy region-growing algorithm
复制标题
使用模糊区域生长算法对自然图像进行粗略和准确的分割
DOI：
10.1109/icip.1999.817106
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
V. Anh
中科院分区：
文献类型：
--
作者：
J. Maeda;S. Novianto;S. Saga;Yukinori Suzuki;V. Anh
我们提出了一个粗糙和准确的自然图像分割模糊区域生长算法。首先，确定局部区域的最佳覆盖层数目，以估计最佳局部分形维数。然后，将灰度特征和局部分形维数特征结合到模糊区域生长算法中。在所提出的方法中，强度特征被用来产生一个准确的分割，而分形维特征被用来产生一个粗略的分割在一个自然的图像。计算机仿真实验表明，该方法能同时对纹理较细的区域进行粗分割和对边缘较强的区域进行精确分割，验证了该方法的有效性。
We present a rough and an accurate segmentation of natural images using a fuzzy region-growing algorithm. First, an optimum number of the blanket for local areas is determined to estimate the optimal local fractal dimension. Then, the intensity features and the local fractal-dimension feature are integrated into the fuzzy region-growing algorithm. In the proposed method, the intensity features are used to produce an accurate segmentation, while the fractal-dimension feature is used to yield a rough segmentation in a natural image. The effectiveness of the proposed method is confirmed through computer simulations that demonstrate a rough segmentation at the fine-texture regions and an accurate segmentation at the strong-edge regions simultaneously.