Title :
A modified scheme for segmenting the noisy images
Author :
Chanda, B. ; Chaudhuri, B.B. ; Majumder, D. Dutta
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
Abstract :
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
Keywords :
picture processing; transforms; connectedness; gray-level thresholding; histograms; noisy image segmentation; picture processing; transformation function; Automata; Brightness; Histograms; Humans; Image analysis; Image segmentation; Noise reduction; Pixel; Shape; Stochastic processes;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
