Thresholding Technique in the Application of Sclera Segmentation

Abstract

Sclera is the white outer layer of the eye surrounding the cornea. Nowadays, the applications of image processing techniques on sclera are widely used in various fields, such as pattern recognition technique, biometrics, machine learning, image analysis and a range of medical applications, beneficial to humanity. Segmentation is one of the various technique in image processing. In this paper, we propose a simple technique by using thresholding method to segment the sclera images. The segmentation algorithm was implemented on RGB images. The aim of this paper is to segment the sclera by using thresholding method. Global thresholding and color thresholding were introduced in this system for segmenting sclera image. The result showed that the proposed segmentation technique has successfully segmented the sclera images by removing the nonessential parts and retaining the particular region of interest. The proposed method showed that the segmentation algorithm was able to segment the sclera images with a promising percentage of similarity indexes.