A brief study of image segmentation using Thresholding Technique on a Noisy Image
Vishnu Sivakumar, Veerasamy Murugesh · 2014
Image segmentation is usually accustomed distinguish the foreground from the background of an image. The main target of this paper is an effort to review Image Segmentation using Thresholding Technique on a picture corrupted by Gaussian Noise as well as Salt and Pepper Noise which is enforced using MATLAB software and the results obtained are studied and thereby mentioned, highlighting the techniques performance. The algorithm is demonstrated through the segmentation of color images. The classification accuracy of the proposed method is evaluated and a comparative study versus existing techniques is presented. The experiments were conducted on an extensive set of color images. Satisfactory segmentation results have been obtained showing the effectiveness and superiority of the proposed method.