Automated Coastline Extraction Using Edge Detection Algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911881913958400 |
|---|---|
| author | O'Sullivan, Conor Coveney, Seamus Monteys, Xavier Dev, Soumyabrata |
| author_facet | O'Sullivan, Conor Coveney, Seamus Monteys, Xavier Dev, Soumyabrata |
| contents | We analyse the effectiveness of edge detection algorithms for the purpose of automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and Prewitt are compared visually and using metrics. With an average SSIM of 0.8, Canny detected edges that were closest to the reference edges. However, the algorithm had difficulty distinguishing noisy edges, e.g. due to development, from coastline edges. In addition, histogram equalization and Gaussian blur were shown to improve the effectiveness of the edge detection algorithms by up to 1.5 and 1.6 times respectively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_11494 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated Coastline Extraction Using Edge Detection Algorithms O'Sullivan, Conor Coveney, Seamus Monteys, Xavier Dev, Soumyabrata Computer Vision and Pattern Recognition Machine Learning Image and Video Processing We analyse the effectiveness of edge detection algorithms for the purpose of automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and Prewitt are compared visually and using metrics. With an average SSIM of 0.8, Canny detected edges that were closest to the reference edges. However, the algorithm had difficulty distinguishing noisy edges, e.g. due to development, from coastline edges. In addition, histogram equalization and Gaussian blur were shown to improve the effectiveness of the edge detection algorithms by up to 1.5 and 1.6 times respectively. |
| title | Automated Coastline Extraction Using Edge Detection Algorithms |
| topic | Computer Vision and Pattern Recognition Machine Learning Image and Video Processing |
| url | https://arxiv.org/abs/2405.11494 |