Infrared Image Preprocessing Based on Top-Hat Transformation and Self-Adaption Threshold Segmentation

Rui Wang; Xiao Qiang Liu; Gang Wang; Bo Fan Yang

doi:10.4028/www.scientific.net/AMR.1044-1045.1452

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Infrared Image Preprocessing Based on Top-Hat...

Infrared Image Preprocessing Based on Top-Hat Transformation and Self-Adaption Threshold Segmentation

Abstract:

Infrared targets will render as high gray-scale points in single infrared image because of small size and long distance between targets and space-based infrared sensor,which is similar to noisy points. In order to distinguish targets and noisy points, this paper presents a method of self-adaption threshold segmentation after Top-hat transformation with double structure elements, which could effectively restrain background and noisy points.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1452-1458

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1452

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Online since:

October 2014

Authors:

Rui Wang*, Xiao Qiang Liu, Gang Wang, Bo Fan Yang

Keywords:

Double Structure, Self-Adapt, Threshold Segmentation, Top-Hat Transformation

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* - Corresponding Author

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