Statistical change detection with moments under time-varying illumination

Author

Liu, Sze-Chu ; Fu, Chang-Wu ; Chang, Shyang

Author_Institution

Nankai Coll. of Technol. & Commerce, Nantou, Taiwan

Volume

7

Issue

9

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

1258

Lastpage

1268

Abstract

In this paper, an illumination-independent statistical change detection method is proposed. The proposed method consists of two parts. First, based on our defined circular shift moments, structural changes can be distinguished from those due to time-varying illumination in the noise-free case. Moreover, the amount of computation is less than that of the shading model method. Second, in the light of the characteristics of the defined moments, a statistical decision rule is also proposed to cope with the effects of noise. The change detection problem can be treated as one of hypothesis testing. Critical values can be chosen according to the desired level of significance. Experimental results indicate that the proposed method detects changes accurately in the time-varying illumination case

Keywords

image processing; noise; statistical analysis; time-varying systems; circular shift moments; hypothesis testing; machine vision applications; noise-free case; statistical change detection; statistical decision rule; time-varying illumination; time-varying imagery; Algorithm design and analysis; Change detection algorithms; Detection algorithms; Image segmentation; Layout; Lighting; Machine vision; Robustness; Samarium; Testing;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.709658

Filename

709658