• Krishna Kumari S
• Dr.C.Murukesh

The aim of this study is to monitor the Keratoconus with thermal image using Fractional Spline Wavelet Transform (FSWT) and comparing the Structural Similarity index (SSIM) with Discrete Wavelet Transform (DWT). Materials and methods: Thermal image of an eye is captured using a thermal camera for 9 samples and it is applied to FSWT, subbands are obtained from transformed image and SSIM is extracted using resynthesized image. Group 1 is considered as FSWT and group 2 is using DWT, each consisting of 9 samples.There are 18 samples in all, with a pretest G power of 80%. Results: In this study, FSWT has a higher average SSIM of 195.2 than DWT, which has an average SSIM of 170.5, and the significance is p<0.05. Conclusion: Within the confines of our research, it is observed that innovative keratoconus health assessment using thermal images through FSWT has higher significance than DWT.

Innovative Keratoconus health assessment, Fractional Spline Wavelet Transform, feature extraction, Structural Similarity Index, Discrete Wavelet Transform, Thermal image.

"Innovative Keratoconus Health Monitoring System using Thermal Images through Fractional Spline Wavelet Transform and compared with Discrete Wavelet Transform ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.100-106, june, Available :http://www.jetir.org/papers/JETIR1907W16.pdf

"Innovative Keratoconus Health Monitoring System using Thermal Images through Fractional Spline Wavelet Transform and compared with Discrete Wavelet Transform ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp100-106, june, Available at : http://www.jetir.org/papers/JETIR1907W16.pdf