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

Autor:	Fardo, Fernando A., Conforto, Victor H., de Oliveira, Francisco C., Rodrigues, Paulo S.
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 11 pages, 8 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1605.07116 Zobrazit plný text záznamu View this record from Arxiv