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How to Select Microscopy Image Similarity Metrics?

Published

Author(s)

Peter Bajcsy, Joe Chalfoun, Mary C. Brady

Abstract

Comparisons of two microscopy images can be accomplished in many different ways. This paper presents a system that recommends appropriate similarity metrics for microscopy image comparisons based on biological application requirements. The motivation stems from the fact that task requirements can drive the automatic selection of a similarity metric. The suitability of a particular image similarity metric is modeled as the sensitivity and invariance of the metric to microscopy image content and the associated dynamic changes of this content.. In this paper, we describe a mathematical and experimental basis of an image similarity metric recommendation system. In this system, we build a database of sensitivity signatures, and query this reference database to retrieve a similarity metric based on given biological requirements. We illustrate a prototype recommendation system based on synthetic and measured images for spectral calibration and spatial registration applications.
Proceedings Title
ACM Conference on Bioinformatics, Computational Biology, and Biomedical Informatics
Conference Dates
October 7-10, 2012
Conference Location
Orlando, FL, US

Keywords

Image similarity metrics

Citation

Bajcsy, P. , Chalfoun, J. and Brady, M. (2012), How to Select Microscopy Image Similarity Metrics?, ACM Conference on Bioinformatics, Computational Biology, and Biomedical Informatics , Orlando, FL, US (Accessed April 13, 2024)
Created October 10, 2012, Updated January 6, 2023