A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and Classification.
Developers of image processing routines rely on benchmark data sets to give qualitative comparisons of new image analysis algorithms and pipelines. Such data sets need to include artifacts in order to occlude and distort the required information to be extracted from an image. Robustness, the quality...
| Päätekijät: | , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Public Library of Science (PLoS)
2015-01-01
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| Sarja: | PLoS ONE |
| Linkit: | http://europepmc.org/articles/PMC4508044?pdf=render |