End-stopped wavelets for detecting low-level features

Sushil K. Bhattacharjee; Pierre Vandergheynst

doi:10.1117/12.366829

26 October 1999 End-stopped wavelets for detecting low-level features

Sushil K. Bhattacharjee, Pierre Vandergheynst

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366829
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

In this paper, we present two filters that simulate the behavior of biological end-stopped cells. Both are zero-mean filters, and are well located in the spatial as well as frequency domains, that is, these filters are admissible wavelets. We refer to the two filters as ES1 and ES2. The ES1 filter responds to ends of linear structures which have a specific orientation, and the ES2 filter responds to line- segments which have a specific orientation, and which have a length within a specific range. We show sample results to demonstrate the behavior of the proposed wavelets, and we also discuss the scale-space behavior of these wavelets briefly.

Citation Download Citation

Sushil K. Bhattacharjee and Pierre Vandergheynst "End-stopped wavelets for detecting low-level features", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366829

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