A modified scheme for segmenting the noisy images

An image segmentation scheme based on gray-level thresholding is presented. To reduce errors in misclassification, gray-level histograms are sharpened before thresholding using a gray-level transformation function that also leads to an expression for computing the expected threshold. Three new thresholding methods are proposed that reduce the noise, smooth region boundaries, and preserve connectedness among different parts of objects, and are not expensive