Near-Band IR Small Scene Star Image Segmentation Based on Partial Histogram Grey Level

Zhe Wang; Zhe Yan; Wei Tan

doi:10.4028/www.scientific.net/AMM.496-500.1834

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Near-Band IR Small Scene Star Image Segmentation...

Near-Band IR Small Scene Star Image Segmentation Based on Partial Histogram Grey Level

Abstract:

The near-band IR star images segmentation and recognition is key technique in day time star navigation. Due to the scene of near-band IR star imaging relative small and stellar with high star grade are limited. Pertinence and dynamic grey level threshold is necessary for image processing arithmetic. In order to enhance near-band IR star images segmentation and recognition in real-time, this paper present the process of partial histogram grey level threshold and improve for actually near-band IR star images with scene of no more than 1.5°×1.5°. It can reduce the calculation of near-band IR star images with adjustable threshold. And get rid of disturbance of small imaging square stars and noise points.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1834-1839

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1834

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Online since:

January 2014

Authors:

Zhe Wang, Zhe Yan, Wei Tan

Keywords:

Near-Band IR Star Image, Partial Histogram, Small Scene, Star Grade, Threshold

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