光学技术, 2012, 38 (2): 197, 网络出版: 2012-04-20   

基于改进Otsu法的遥感图像油罐目标分割研究

Research on oilcan target segmentation in remote sensing image based on improved Otsu algorithm
作者单位
北京理工大学 光电学院 光电成像技术与系统教育部重点实验室, 北京 100081
摘要
为了对可见光遥感图像中油罐目标进行快速分割,在前人工作的基础上提出了一种快速的方法。对可见光遥感图像灰度值分布特点进行分析,用数组对满足先验知识的像素进行统计,使图像中缺失的灰度值不再参加计算,大大减少了冗余计算。以类间方差函数的代替函数(二者在同一位置取得最大值)进行分段处理,提高了运算速度。实验证明,这种方法可以应用到可见光遥感图像油罐目标的分割中,且分割效果优于Otsu法,实验所用图像的处理速度是前人改进方法的5倍以上。
Abstract
In order to improve the speed of oilcan target segmentation in optical remote sensing image, a fast approach is presented based on the previous improved algorithm. Gray distribution of optical remote sensing image is analyzed. The pixels which meet the priori knowledge are stored in an array. The missing gray values no longer participate in calculation so that the redundant computing is reduced greatly. The replacement function of the between-class variance function (the two functions both maximize at the same point) is transformed into a piecewise function to improve operation speed. It is proved in the experiment that this approach can be used in the segmentation of oilcans in optical remote sensing images, and the effect is better than that of Otsu. It is more than 5 times faster than previous improved algorithm for the images used in the experiment.
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殷亮, 高昆, 白廷柱. 基于改进Otsu法的遥感图像油罐目标分割研究[J]. 光学技术, 2012, 38(2): 197. YIN Liang, GAO Kun, BAI Tingzhu. Research on oilcan target segmentation in remote sensing image based on improved Otsu algorithm[J]. Optical Technique, 2012, 38(2): 197.

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