Issue No. 01 - January (1986 vol. 8)
Jean Babaud , Schlumberger Computer Aided Systems, Palo Alto, CA 94304.
Andrew P. Witkin , Schlumberger Computer Aided Systems, Palo Alto, CA 94304.
Michel Baudin , Schlumberger Computer Aided Systems, Palo Alto, CA 94304.
Richard O. Duda , Syntelligence. Sunnyvale, CA.
Scale-space filtering constructs hierarchic symbolic signal descriptions by transforming the signal into a continuum of versions of the original signal convolved with a kernal containing a scale or bandwidth parameter. It is shown that the Gaussian probability density function is the only kernel in a broad class for which first-order maxima and minima, respectively, increase and decrease when the bandwidth of the filter is increased. The consequences of this result are explored when the signal¿or its image by a linear differential operator¿is analyzed in terms of zero-crossing contours of the transform in scale-space.
J. Babaud, M. Baudin, R. O. Duda and A. P. Witkin, "Uniqueness of the Gaussian Kernel for Scale-Space Filtering," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 8, no. , pp. 26-33, 1986.