Image registration using robust M-estimators

被引：36

作者：

Arya, K. V. ^{[1
]}

Gupta, P.

Kalra, P. K.

Mitra, P.

机构：

[1] MJP Rohilkhand Univ, Dept Comp & Informat Sci, Bareilly, Uttar Pradesh, India

[2] Indian Inst Technol, Dept Comp Sci & Engn, Kanpur 208016, Uttar Pradesh, India

[3] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India

[4] Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur 721302, W Bengal, India

来源：

PATTERN RECOGNITION LETTERS | 2007年 / 28卷 / 15期

关键词：

robust statistics; M-estimator; Huber statistics; Tukey statistics; normalized cross-correlation; influence function;

D O I：

10.1016/j.patrec.2007.05.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a method for robust image registration based on M-estimator Correlation Coefficient (MCC) is presented. A real valued correlation mask function is computed using Huber and Tukey's robust statistics and is used as a similarity measure for registering image windows. The mask function suppresses the influence of outlier points and makes the registration algorithm robust to noisy pixels, brightness fluctuations and presence of occluding objects. The superiority of the proposed algorithm, in terms of registration performance and computation time is demonstrated through experimental studies on different types of real world images. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：1957 / 1968

页数：12

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