REMOVING SHADOWS FROM HIGH-RESOLUTION URBAN AERIAL IMAGES BASED ON COLOR CONSTANCY
REMOVING SHADOWS FROM HIGH-RESOLUTION URBAN AERIAL IMAGES BASED ON COLOR CONSTANCY
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DOI：
10.5194/isprsarchives-xxxix-b3-525-2012
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发表时间：
2012-08
期刊：
影响因子：
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通讯作者：
YE Q.;H. Xie;X. Q
中科院分区：
文献类型：
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作者：
YE Q.;H. Xie;X. Q
基于颜色恒定理论，探索了一种去除真彩色和彩色红外城市航拍图像中高楼阴影的方法。本文首次采用光谱比率和最大类间方差阈值分割方法对城市航拍真彩色和彩色红外航拍图像中的建筑物阴影进行检测。然后，在阴影检测结果的基础上，利用颜色恒定算法SOG(Shades Of Gray)对不同p值的Minkowski范数的航拍图像进行阴影去除。最后从亮度、对比度和平均梯度三个方面对不同p值的阴影去除效果进行了比较。实验表明，基于颜色恒定度的方法具有良好的视觉效果，与一般场景图像阴影去除不同，当p为2时，航拍图像的阴影去除效果最好，这意味着这两类航拍图像不能简单地视为灰度世界图像。
A method is explored to remove tall building shadows in true color and color infrared urban aerial images based on the theory of color constancy. This paper first uses the specthem ratio and Otsu threshold segmentation methods to detect building shadows on urban aerial true color and color infrared aerial images. Then, based on the shadow detection result, one of the color constancy algorithms SoG (Shades of Gray) is used to remove the shadows in aerial images with different p values of the Minkowski norm. Finally, the shadow removal results with different p values have been compared by brightness, contrast and average gradients. The experiments show that the result of this method based on color constancy has a good visual effect, and different from general scene image shadow removal, the aerial images get the best shadow removal result when p is 2. It means the two types of aerial images should not be simply regarded as gray world images.