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The Selection of Natural Scales in 2D Images Using Adaptive Gabor Filtering
May 1998 (vol. 20 no. 5)
pp. 458-469

Abstract—This paper analyzes how the natural scales of the shapes in 2D images can be extracted. Spatial information is analyzed by multiple units sensitive to both spatial and spatial-frequency variables. Scale estimates of the relevant shapes are constructed only from strongly responding detectors. The meaningful structures in the response of a detector (computed through 2D Gabor filtering) are, at their natural level of resolution, relatively sharp and have well-defined boundaries. A natural scale is so defined as a level σ producing local minimum of a function that returns the relative sharpness of the detector response filtered over a range of scales. In a second stage, to improve a first crude estimate of the local scale, the criterion is also rewritten to directly select scales at locations of significant features of each activated detector.

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Index Terms:
Natural scale selection, data-driven multichannel scheme, activated sensors, complex 2D Gabor filters.
J. Fdez-Valdivia, J.a. Garcia, J. Martinez-Baena, Xose R. Fdez-Vidal, "The Selection of Natural Scales in 2D Images Using Adaptive Gabor Filtering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 5, pp. 458-469, May 1998, doi:10.1109/34.682176
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