A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms
This addresses the lack of reliable generic metrics for evaluating image segmentation algorithms, though it is incremental as it focuses on disproving an existing metric.
The paper evaluated PSNR as a quality metric for image segmentation algorithms and found it inadequate, with results indicating poor correlation to segmentation performance.
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.