SCTMS: Superpixel based color topographic map segmentation method
SCTMS: Superpixel based color topographic map segmentation method
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SCTMS：基于超像素的彩色地形图分割方法
DOI：
10.1016/j.jvcir.2015.12.004
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发表时间：
2016-02-01
影响因子：
2.6
通讯作者：
Qi, Yutao
中科院分区：
文献类型：
--
作者：
Liu, Tiange;Miao, Qiguang;Qi, Yutao
与自然图像不同，地形图是一种复杂的人工生成的图像，具有大量交错的线条和面状要素。由于地理要素之间的频繁交叉和重叠，在栅格彩色地图中会出现扫描仪不对准以及不适当保存、假色彩、混色和色彩混叠等干扰问题。这些问题可能会给分割过程带来严重的挑战。针对这些问题，本文提出了一种基于超像素的彩色地形图分割方法。首先，基于双色对偶边界检测方法和分水岭方法得到最优分割；然后，引入了一种严格的区域合并方法，以防止在生成超像素时出现误合并。这种合并方法可以使超像素划分准确地附着在不同地理元素之间的边界上。最后，基于支持向量机，综合应用亮度、颜色和纹理信息对超像素进行分层分类。实验结果表明，该方法的分割效果优于其他地形图分割方法。(C)2015 Elsevier Inc.保留所有权利。
Different from natural image, topographic map is a complex manually generated image which has amount of interlaced lines and area features. Because of the frequent intersection and the overlap between geographic elements, the misalignment in scanner and other disturbances like inappropriate preserving, false color, mixed color and color aliasing problems occur in the raster color maps. These problems could cause serious challenges in segmentation process. In this work, we present a color topographic map segmentation method based on superpixel to overcome these problems. Firstly, the finest partition is obtained based on double color-opponent boundary detection method and watershed approach. Then, a strict region merging method is introduced to prevent mis-merging while superpixels generated. This merging method could make the superpixel partition accurately adherent the boundary between different geographic elements. Finally, luminosity, color and texture information are combinative applied to classify the superpixel into different layers based on support vector machine. The experimental results show that the proposed method outperforms other state-of-art topographic map segmentation approaches. (C) 2015 Elsevier Inc. All rights reserved.