The paper firstly discussed two ways for image segmentation:image segmentation by global threshold and image segmentation by dynamic threshold.
首先讨论了图像阈值分割的两种方法:全局阈值图像分割和动态阈值图像分割。
Based on global threshold, a new dynamic thresholding approach is proposed which is adjusted with th weighting of the difference between neighbor average grey and global threshold.
以全局阈值为基础,用邻域平均灰度与全局阈值之差的加权值对其进行调整,从而形成一种新的动态阈值分割法。
Compared with the fixed threshold and the global threshold algorithms, the proposed method obtains better detection effects for clouds in small, broken bits and weak contrast clouds.
与固定阈值和全局阈值算法相比,局部阈值插值算法对一些细碎的云和与背景反差不大的云获得了更好的检测效果。
Compared with the fixed threshold and the global threshold algorithms, the proposed method obtains better detection effects for clouds in small, broken bits and weak contrast clouds.
与固定阈值和全局阈值算法相比,局部阈值插值算法对一些细碎的云和与背景反差不大的云获得了更好的检测效果。
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