The selection of natural scales in 2D images using adaptive Gabor filtering
Joaquín Fdez-Valdivia, José Antonio García, J. Martinez-Baena, Xosé R. Fdez-Vidal · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998
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 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.