Segmentation of Finger Nails Image based on Image Processing methods

This research has aim to segmentation of finger nails image using image processing methods and k-means region growing. Finger nails image could be used as early detection of diabetes mellitus. The steps in research are preprocessing step and segmentation step. Preprocessing step consist of image grayscale conversion, median filter, edge detection sobel operator and dilation. The aim of preprocessing step is to enhancement image before segmentation process is applied in image. Therefore, segmentation step using k-means region growing approach. The result show that accuracy rate of methods is 54.67%. In the next research, segmentation of finger nails image could use other methods that show better result.