Source code for the Compact Morphology-based Nodule Delineation (CoMoNoD) algorithm
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2017
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| _version_ | 1867171847782531072 |
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| author | Schoening, Timm |
| author_facet | Schoening, Timm |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This is the demonstration code for the "Compact Morphology-based Nodule Delineation" (CoMoNoD) algorithm. CoMoNoD is a rapid method to delineate poly-metallic (or manganese) nodules from vertical benthic images. The paper describing the algorithm is currently under review. This algorithm makes extensive use of the OpenCV library for image processing and uses NVIDIA CUDA for computational speedup. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_875070 |
| institution | PANGAEA |
| language | en |
| publishDate | 2017 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Source code for the Compact Morphology-based Nodule Delineation (CoMoNoD) algorithm Schoening, Timm JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact This is the demonstration code for the "Compact Morphology-based Nodule Delineation" (CoMoNoD) algorithm. CoMoNoD is a rapid method to delineate poly-metallic (or manganese) nodules from vertical benthic images. The paper describing the algorithm is currently under review. This algorithm makes extensive use of the OpenCV library for image processing and uses NVIDIA CUDA for computational speedup. |
| title | Source code for the Compact Morphology-based Nodule Delineation (CoMoNoD) algorithm |
| topic | JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact |
| url | https://doi.org/10.1594/PANGAEA.875070 |