Indian Journal of Innovations and Developments

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: To find out the diabetes mellitus disease with better accuracy by comparing the tongue features of diseased persons with the tongue features of normal persons.

Methods: Median filter is used for remove the unwanted noise from tongue image. The proximal support vector machine is a classification technique which is used for separate the diabetes mellitus and non proliferative diabetic retinopathy samples from the healthy samples.

Findings: The proposed method achieves high performance in terms of precision, recall, accuracy and F-measure.

Application/Improvements: Median filter is used for preprocessing the tongue image and PSVM classifier used for classification which results in better accuracy than the SVM classifier.


Keywords

Diabetes Mellitus, Support Vector Machine, Non Proliferative Diabetic Retinopathy and Median Filter.
User
Notifications