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...

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Detalles Bibliográficos
Autores principales: Khan, Arif ul Maula, Mikut, Ralf, Reischl, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508044/
https://www.ncbi.nlm.nih.gov/pubmed/26191792
http://dx.doi.org/10.1371/journal.pone.0131098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508044/
https://www.ncbi.nlm.nih.gov/pubmed/26191792
http://dx.doi.org/10.1371/journal.pone.0131098

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