A MODIFIED SCHEME FOR SEGMENTING THE NOISY IMAGES

被引：6

作者：

CHANDA, B

CHAUDHURI, BB

MAJUMDER, DD

机构：

[1] Indian Statistical Inst, Calcutta, India

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1988年 / 18卷 / 03期

关键词：

SIGNAL FILTERING AND PREDICTION;

D O I：

10.1109/21.7495

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

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.

引用

页码：458 / 466

页数：9

共 14 条

[1]

CHANDRA B, 1984, ECSU184 IND STAT I E

[2]

CHAUDHURI BB, 1983, P IEEE, V130, P95

[3]

OPERATIONS USEFUL FOR SIMILARITY-INVARIANT PATTERN RECOGNITION [J].