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A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms
May 23, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Fernando A. Fardo, Victor H. Conforto, Francisco C. de Oliveira, Paulo S. Rodrigues
arXiv ID
1605.07116
Category
cs.CV: Computer Vision
Citations
95
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Quality evaluation of image segmentation algorithms are still subject of debate and research. Currently, there is no generic metric that could be applied to any algorithm reliably. This article contains an evaluation for the PSRN (Peak Signal-To-Noise Ratio) as a metric which has been used to evaluate threshold level selection as well as the number of thresholds in the case of multi-level segmentation. The results obtained in this study suggest that the PSNR is not an adequate quality measurement for segmentation algorithms.
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