摘要
Abstract
The clouds in the infrared cloud image are composed of cumulonimbus, cirrus, stratus and cumulus which are useful to study the atmosphere. We can use the fractal dimension algorithm to segment the clouds according to the different fractal dimension of them. But the result of the segmentation can’t be accurate when only fractal dimension is used, since the earth’s surface has the similar fractal dimension with some clouds. To solve the question, we use Otsu algorithm to separate the interference of earth’s surface, and then use the fractal dimension to segment the clouds. The result may be confused due to the inexact fractal dimension when traditional fractal dimension algorithm is used, because only the maximum and minimum pixels of a window are chosen to compute. To solve the question, we add all pixels in the window to compute, so that the exact fractal dimension can be got to ensure the good result.关键词
红外云图/分形维数/最大类间方差算法/图像分割Key words
infrared cloud image/fractal dimension/Otsu algorithm/image segmentation分类
信息技术与安全科学
