首页> 外文会议>Automatic Target Recognition XXV >Performance and Time Requirement Analysis of Top-Hat Transform Based Small Target Detection Algorithms
【24h】

Performance and Time Requirement Analysis of Top-Hat Transform Based Small Target Detection Algorithms

机译:基于顶帽子变换的小目标检测算法的性能和时间需求分析

获取原文
获取原文并翻译 | 示例

摘要

Top-Hat transform is well known background suppression method used in small target detection. In this paper, we investigate various different Top-Hat transformation based small target detection approaches. All of the methods are implemented with their best parameter settings and applied to the same test image. The comparison among them is done in terms of three issues: 1. the detection performance (precision and false alarm rate), 2. the time requirement of the method and its usability for real time applications, 3. the number of parameters, which need user interaction. Results show that all of the algorithms require a prior knowledge of target size, which is either used as the structuring element size or as the threshold for post-processing. Algorithms, which use automatic approaches to select its parameters, are not generic to be applied to various images. But algorithms, which use adaptive methods for deciding on the threshold value, perform better than the others.
机译:顶帽子变换是在小目标检测中使用的众所周知的背景抑制方法。在本文中,我们研究了各种基于Top-Hat变换的小目标检测方法。所有方法均以其最佳参数设置实施,并应用于相同的测试图像。它们之间的比较是从三个方面进行的:1.检测性能(精确度和误报率); 2.方法的时间要求及其在实时应用中的可用性; 3.参数数量,需要用户互动。结果表明,所有算法都需要先了解目标大小,然后将其用作结构元素的大小或用作后处理的阈值。使用自动方法选择其参数的算法并非通用于应用于各种图像。但是使用自适应方法确定阈值的算法的性能要优于其他算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号