Effective Small Dim Target Detection by Local Connectedness Constraint
Paper in proceedings, 2014

The main drawback of conventional filtering based methods for small dim target (SDT) detection is they could not guarantee sufficient suppression ability towards trivial high frequency component which belongs to background, such as strong corners and edges. To overcome this bottleneck, this paper proposes an effective SDT detection algorithm by using local connectedness constraint. Our method provides direct control for target size, ensure high accuracy and could be easily embedded into the classical sliding-window based framework. The effectiveness of the proposed method is validated using images with cluttered background.

Region growing

Small dim target detection

Sliding window

Connectedness constraint

Author

Keren Fu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

K Xie

Shanghai Jiao Tong University

C Gong

Shanghai Jiao Tong University

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Jie Yang

Shanghai Jiao Tong University

IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014; Florence; Italy; 4 May 2014 through 9 May 2014

1520-6149 (ISSN)

8110-8114

Areas of Advance

Information and Communication Technology

Subject Categories

Information Science

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1109/ICASSP.2014.6855181

ISBN

978-147992892-7

More information

Latest update

3/7/2018 7