A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images

Min-Song Wei; Fei Xing; Zheng You

doi:10.1038/lsa.2018.6

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A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images

Original Articles

- A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images
- Light: Science & Applications Vol. 7, Issue 3, (2018)
- Affiliations：
  
  1.Department of Precision Instrument, Tsinghua University, Beijing 100084, China
  2.State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China
  3.Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA
- Author bio：
  
  F Xing, Email: xingfei@mail.tsinghua.edu.cn
  Z You, Email: yz-dpi@mail.tsinghua.edu.cn
- Funds：
- DOI：10.1038/lsa.2018.6
  CLC：
- Published：2018，
  
  Published Online：04 May 2018，
  
  Received：21 September 2017，
  
  Revised：05 January 2018，
  
  Accepted：15 January 2018
- Accepted：
Scan QR Code
Wei, M. S.,Xing, F.& You, Z. et al. A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images. Light: Science & Applications, 3, 18006 (2018).
DOI：

Wei, M. S.,Xing, F.& You, Z. et al. A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images. Light: Science & Applications, 3, 18006 (2018). DOI： 10.1038/lsa.2018.6.

摘要

Abstract

A small and weak target detection method is proposed in this work that outperforms all other methods in terms of real-time capability. It is the first time that two-dimensional (2D) images are processed using only one-dimensional1D structuring elements in a morphology-based approach

enabling the real-time hardware implementation of the whole image processing method. A parallel image readout and processing structure is introduced to achieve an ultra-low latency time on the order of nanoseconds

and a hyper-frame resolution in the time domain can be achieved by combining the row-by-row structure and the electrical rolling shutter technique. Experimental results suggest that the expected target can be successfully detected under various interferences with an accuracy of 0.1 pixels (1

) under the worst sky night test condition and that a centroiding precision of better than 0.03 pixels (1

) can be reached for static tests. The real-time detection method with high robustness and accuracy is attractive for application to all types of real-time small target detection systems

such as medical imaging

infrared surveillance

and target measurement and tracking

where an ultra-high processing speed is required.

关键词

Keywords

high robustness and accuracy1D morphology-based approachrow-by-row structurereal-time detection methodsmall and weak target detection and positioning

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