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PErformance and time requirement analysis of top hat transform based small target detection algorithms
Date
2015-04-24
Author
Ulusoy, İlkay
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Small target detection
,
Real-time methods
,
Mathematical morphology
,
Wavelet transform
,
Infrared missile seeker
,
Infrared imagery
,
Background suppression
,
Top-Hat transform
URI
https://hdl.handle.net/11511/38384
DOI
https://doi.org/10.1117/12.2176325
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar