激光与光电子学进展, 2012, 49 (9): 091102, 网络出版: 2012-06-19  

一种距离选通图像分割的新算法

A Novel Segmentation Algorithm for Range-Gated Images
作者单位
中国科学院半导体研究所光电系统实验室, 北京 100083
摘要
介绍了一种图像分割算法,用于受到距离选通激光夜视技术带来的回波展宽效应影响的图像。该算法利用有效信息区边缘线的平均灰度信息实现对分割图像阈值的选取以分割图像。选取该阈值后,算法利用空间信息实现对噪点的判断以除去噪声。该算法可以准确分割出有效信息区边缘,采用很少的形态学操作,保证了图像的还原质量。实验证明该算法可以准确地分割边缘模糊的距离选通激光夜视图像,对噪声等具有较强的稳健性。
Abstract
A novel algorithm to segment images under the echo broadening effect (EBE) in range-gated laser night vision technology is presented. The proposed algorithm uses average gray value of outline edges information to select the threshold extracting signal areas out. Spatial information of each pixel is applied to detect the noises from the candidate signal areas after the determination of the threshold. This algorithm avoids too much morphological operation and prevents the distortion of the images. The experimental results show that, using this method, it is very effective to segment low quality long distance range-gated images.
参考文献

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王国华, 王新伟, 张运方, 张逸韵, 周燕, 刘育梁. 一种距离选通图像分割的新算法[J]. 激光与光电子学进展, 2012, 49(9): 091102. Wang Guohua, Wang Xinwei, Zhang Yunfang, Zhang Yiyun, Zhou Yan, Liu Yuliang. A Novel Segmentation Algorithm for Range-Gated Images[J]. Laser & Optoelectronics Progress, 2012, 49(9): 091102.

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