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

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.

[1]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[2]  Renato Natal Jorge,et al.  Developments in Medical Image Processing and Computational Vision , 2015 .

[3]  Jaime S. Cardoso,et al.  Toward a generic evaluation of image segmentation , 2005, IEEE Transactions on Image Processing.

[4]  Guilherme Alberto Wachs-Lopes,et al.  A Study of a Firefly Meta-Heuristics for Multithreshold Image Segmentation , 2015 .

[5]  Welch Bl.  THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .

[6]  Ming-Huwi Horng,et al.  Multilevel minimum cross entropy threshold selection based on the firefly algorithm , 2011, Expert Syst. Appl..

[7]  Student,et al.  THE PROBABLE ERROR OF A MEAN , 1908 .

[8]  Prasanta K. Panigrahi,et al.  Multilevel thresholding for image segmentation through a fast statistical recursive algorithm , 2006, Pattern Recognit. Lett..

[9]  B. L. Welch.  The generalisation of student's problems when several different population variances are involved. , 1947, Biometrika.

[10]  R. A. Fisher,et al.  THE ASYMPTOTIC APPROACH TO BEHRENS'S INTEGRAL, WITH FURTHER TABLES FOR THE d TEST OF SIGNIFICANCE , 1941 .

[11]  Lian-Wen Jin,et al.  A robust graph-based segmentation method for breast tumors in ultrasound images. , 2012, Ultrasonics.

[12]  Jitendra Malik,et al.  A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[13]  Gilson A. Giraldi,et al.  Improving the non-extensive medical image segmentation based on Tsallis entropy , 2011, Pattern Analysis and Applications.

[14]  Xiao Yong-hao,et al.  Multi-level Threshold Image Segmentation Based on PSNR using Artificial Bee Colony Algorithm , 2012 .

[15]  Pohsiang Tsai,et al.  A gray-level clustering reduction algorithm with the least PSNR , 2011, Expert Syst. Appl..