Rough and accurate segmentation of natural color images using fuzzy region-growing algorithm
Rough and accurate segmentation of natural color images using fuzzy region-growing algorithm
复制标题
使用模糊区域生长算法对自然彩色图像进行粗略和精确分割
DOI：
10.1109/icpr.2000.903626
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Yukinori Suzuki
中科院分区：
文献类型：
--
作者：
J. Maeda;Chiharu Ishikawa;S. Novianto;N. Tadehara;Yukinori Suzuki
我们提出了一个粗糙和准确的自然彩色图像分割模糊区域生长算法。在该方法中，色差和颜色梯度被用来作为像素特征，产生一个准确的分割，而局部分形维数被用来作为区域特征，产生一个粗略的分割在一个自然的彩色图像。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 color images using a fuzzy region-growing algorithm. In the proposed method, the color difference and the color gradient are used as the pixel features to produce an accurate segmentation, while the local fractal dimension is used as the region feature to yield a rough segmentation in a natural color 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.