mlsanityData to 14 Oct 2026

A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms

arXiv 1605.07116 ↗First posted 23 May 2016cs.CVcited by 42

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Abstract (arXiv)

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.

Key facts. Cited by 42 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 May 2016.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 5; 2024: 9; 2025: 13; 2026: 12.

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