Extracting sea-sky-line based on improved local complexity
| Autor: | Yue-fang Dong, Yun-feng Zhang, Chao Zhu, An-bang Wang |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Computational complexity theory
business.industry Feature extraction Astrophysics::Instrumentation and Methods for Astrophysics Pattern recognition Astrophysics::Cosmology and Extragalactic Astrophysics Image segmentation Hough transform law.invention Noise Feature (computer vision) law Median filter Segmentation Computer vision Artificial intelligence business Astrophysics::Galaxy Astrophysics Mathematics |
| Zdroj: | 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering. |
| Popis: | Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise, and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally, Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds, which is robust and can improve noise immunity of the algorithm. |
| Databáze: | OpenAIRE |
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