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The New Method of Sea-sky Line Detection Based on Mathematical Morphology Cover

The New Method of Sea-sky Line Detection Based on Mathematical Morphology

By: Zhang Wenqi,  Bai Wanmin,  Yu Jun and  Gao Shouyi  
Open Access
|Oct 2019

Figures & Tables

Figure 1.

The mathematical morphology operation
The mathematical morphology operation

Figure 2.

The structural elements
The structural elements

Figure 3.

Overall flow chart
Overall flow chart

Figure 4.

The image space
The image space

Figure 5.

The parameter space
The parameter space

Figure 6.

Original picture of sea-sky background
Original picture of sea-sky background

Figure 7.

Sea-sky-line detected after Gauss filter processing
Sea-sky-line detected after Gauss filter processing

Figure 8.

Sea-sky-line detected after mathematical morphological processing
Sea-sky-line detected after mathematical morphological processing

NUMBER COMPARISON OF VALID POINT BEFORE AND MATHEMATICAL MORPHOLOGY PROCESSING

 Possible points Avalid points BRatio b/aTime consuming/ms
Fig.6 (a)1002828%688
Fig.6 (b)59025242.7%674
Fig.6 (c)1027270.6%708

COMPARISON OF PNSR VALUES OF EXPERIMENTAL RESULTS

 Image processed by Gaussian filterImage processed by filters in This paper
 MSEPNSR/dBMSEPNSR/dB
Fig.6 (a)5.577137.66679.215538.4856
Fig.6 (b)17.328135.743326.462333.9045
Fig.6 (c)74.876629.387336.008332.5571
Language: English
Page range: 85 - 92
Published on: Oct 1, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Zhang Wenqi, Bai Wanmin, Yu Jun, Gao Shouyi, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.