Gray-scale morphological filter for small-target detection

Zhenfu Zhu; Zhongling Li; Haochen Liang; Bo Song; Anjun Pan

doi:10.1117/12.409891

15 December 2000 Gray-scale morphological filter for small-target detection

Zhenfu Zhu, Zhongling Li, Haochen Liang, Bo Song, Anjun Pan

Proceedings Volume 4130, Infrared Technology and Applications XXVI; (2000) https://doi.org/10.1117/12.409891
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

A grayscale morphological filter has been developed for small target detection in Infrared Search and Track (IRST) applications. Applying morphological open in horizontal and vertical directions respectively, utilizing the property of open and choosing the proper one pixel by pixel from the processed data in horizontal and vertical directions, the algorithm exhibits perfect results in estimating background accurately. Represented by the stereo description of images, the performance of the algorithm could be seen intuitively in Section 4. Real IR images with cloud, ground objects as backgrounds are tested, and the detection result is satisfactory. Furthermore, this algorithm has the potential of parallel processing, which is of great importance in real-time implementation.

Citation Download Citation

Zhenfu Zhu, Zhongling Li, Haochen Liang, Bo Song, and Anjun Pan "Gray-scale morphological filter for small-target detection", Proc. SPIE 4130, Infrared Technology and Applications XXVI, (15 December 2000); https://doi.org/10.1117/12.409891

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