Translator Disclaimer
1 April 2010 Comparative study of localization metrics for the evaluation of image interpretation systems
Author Affiliations +
Image interpretation is particularly important in many real applications (video monitoring, biometrics, etc.). Due to the proliferation of image interpretation systems in the literature, their evaluation still remains a crucial stake. Among all the tasks in this field, the quality of object localization is often evaluated through an evaluation metric. We propose to review these techniques and study their reliability. We first propose a generic definition of a localization algorithm. Then, different state of the art techniques to evaluate image interpretation results are detailed. Secondly, we focus on metrics that enable us to evaluate localization results. We propose a general methodology to analyze the behavior of an evaluation metric, considered here as a black box (its definition is not even supposed to be known). We define the properties that these metrics should fulfill. We then perform a comparative study of 33 localization metrics from the state of the art. Experimental results conducted on a large and significant image database permit us to determine metrics that should be used in the future for the evaluation of object localization results.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Baptiste Hemery, Helene Laurent, Bruno Emile, and Christophe Rosenberger "Comparative study of localization metrics for the evaluation of image interpretation systems," Journal of Electronic Imaging 19(2), 023017 (1 April 2010).
Published: 1 April 2010


Edge detection based on multi-scale wavelet
Proceedings of SPIE (August 19 2010)
Offline recognition of handwritten cursive words
Proceedings of SPIE (August 01 1992)

Back to Top