Phase congruence measurement for image similarity assessment

Authors:
Zheng Liu;Robert Laganière
Affiliations:
School of Information Technology and Engineering (SITE), University of Ottawa, 800 King Edward, Ottawa, Ont., Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, 800 King Edward, Ottawa, Ont., Canada K1N 6N5
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

In the performance assessment of an image processing algorithm, an image is often compared with an available reference. Measuring image similarity can be achieved in many ways; comparison algorithm varies from pixel-based mean square error method to structure-based image quality index. In this paper, we present a new feature-based approach that utilizes image phase congruency measurement to quantify the assessment of the similarities or differences between two images. Test results with standard images and industrial inspection images are presented.