The small target detection based on local directional contrast associated with directional entropy

Zhongjun Zhou; Haiying Zhang; Zhenwei Wang; Huihuang Zheng

doi:10.1117/12.2540177

14 August 2019 The small target detection based on local directional contrast associated with directional entropy

Zhongjun Zhou, Haiying Zhang, Zhenwei Wang, Huihuang Zheng

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117928 (2019) https://doi.org/10.1117/12.2540177
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

As the tough problem in ATR (Automatic Target Recognition), the detection of small targets in complex background is an open topic for the lack of sufficient information. Following the technical route of contrast feature, in this paper, the directivity is integrated into the metric of contrast associated with entropy to enhance the target information as well as to suppress the stubborn clutter edge. To speed up the algorithm, the Spectral Residual Approach is introduced to extract ROI (Region of Interest), and then DCDEMap (Directional Contrast and Directional Entropy Map) is created by the re-measurement of contrast and entropy based on the partition of the sliding window in 8 directions. Additional, in order to provide a more adaptive detection threshold for multiple targets in heterogeneous background, the original image is segmented into multiple homogeneous parts by OTSU. Later, the global statistical information from DCDEMap is introduced into the threshold decision process, thereby avoiding the false alarm. The experiments demonstrate that the proposed method has satisfactory performance in P_d (Probability of detection) and F_a (False alarm rate) for various scenarios compared with the state of art algorithms, especially for the clutter edge, it shows prominent suppression ability.

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Zhongjun Zhou, Haiying Zhang, Zhenwei Wang, and Huihuang Zheng "The small target detection based on local directional contrast associated with directional entropy", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117928 (14 August 2019); https://doi.org/10.1117/12.2540177

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KEYWORDS

Target detection

Detection and tracking algorithms

Automatic target recognition

Image enhancement

Image information entropy

Feature extraction

Target recognition

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