Detection and comparison of Diabetic Maculopathy using C-Means Clustering Algorithm and Watershed Algorithm

Cardiometry

article

Farheen Naz¹  Jenila Rani D¹  R. Rajakumari² 

[1] Department of BioMedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University;Department of English and Communication Studies, Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences, Saveetha University

关键词: Novel Diabetic Maculopathy Detection;    Machine learning;    C-Means Clustering Algorithm;    Watershed Algorithm;    MATLAB Programming;    Peak Signal to Noise Ratio (PSNR);   

DOI  :  10.18137/cardiometry.2022.25.845851

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05 (PSNR = 35.3411) showed better results in comparison to Watershed Algorithm (PSNR =9.7420). Conclusion: C-Means Clustering Algorithms were found to give higher PSNR than in Watershed Algorithms for the Novel Diabetic Maculopathy Detection.

【 授权许可】

CC BY