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The selection of natural scales in 2D images using adaptive Gabor filtering

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4 Author(s)
J. Fdez-Valdivia ; Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain ; J. A. Garcia ; J. Martinez-Baena ; X. R. Fdez-Vidal

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

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:20 ,  Issue: 5 )