Image indexing and content-based access to databases of medical images with wavelets

H.-G. Stark; Gernod P. Laufkoetter

doi:10.1117/12.217632

1 September 1995 Image indexing and content-based access to databases of medical images with wavelets

H.-G. Stark, Gernod P. Laufkoetter

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217632
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

This paper describes a simple method for retrieving images from image databases by a similarity retrieval scheme. With wavelets feature vectors are defined, which `measure the presence' of structures of variable size and orientation; moreover corresponding feature vectors providing a multiresolution analysis of object contours are developed. The significance of these feature vectors for classifying images as `similar' is verified on a set of medical MR- images. Based on these experiments a scheme for retrieving MR-images from databases can be defined and typical retrieval results are reported.

Citation Download Citation

H.-G. Stark and Gernod P. Laufkoetter "Image indexing and content-based access to databases of medical images with wavelets", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217632

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