Smart Edge Detection Technique in X-ray Images for Improving PSNR using Robert Edge Detection Algorithm with Gaussian Filter in Comparison with Laplacian Algorithm

Aim: This study aims to propose smart edge detection techniques in x-ray images for improving PSNR using the Robert edge detection algorithm and compared it with the laplacian algorithm. Materials and Methods: For the design of edge detection technique to improve PSNR Robert edge detection algorithm is used along with the gaussian filter and it is compared with the laplacian algorithm. Robert edge detection algorithm and laplacian algorithm are the two groups considered in this study. For each group, the sample size is 20 and the total sample size is 40. Sample size calculation was done using clinicalc.com by keeping g-power at 80%, confidence interval at 95%, and the threshold at 0.05%. Result: When comparing the two algorithms, it is clear that the Robert edge detection algorithm has a higher mean PSNR value of 43.83 db than the laplacian algorithm 43.33 db. It is observed that the Robert edge detection algorithm has statistically insignificant difference from the laplacian algorithm by performing an independent sample t-test with p value greater than 0.05. Conclusion: Robert edge detection has significantly greater PSNR when compared to the Laplacian algorithm