Espi Image Indexing And Similarity Search In Radon Transform Domain
Résumé
Content Based Image Retrieval is a topic which has received a lot of attention and increasing popularity due to a wide range of applications. In this paper, we present a similarity measure for CBIR in an industrial context, where the images of a vibration phenomenon are obtained by Electronic Speckle Pattern Interferometry. Images obtained have very poor visual characteristics, and traditional CBIR systems which rely on color or texture information could not be efficient. We propose a CBIR approach based on the 1-dimensional projections of the images obtained by the Radon transform. Experiments show that this signature is relevant and enables good retrieval performances compared to a baseline image correlation.