Title :
Weighted least squares method for the approximation of directional derivatives
Author :
Tico, Marius ; Kuosmanen, Pauli
Author_Institution :
Digital Media Inst., Tampere Univ. of Technol., Finland
Abstract :
Using the facet model we design a family of filters for the approximation of partial derivatives of the digital image surface. Prior information (e.g., local dominant orientation) is incorporated in a two-dimensional weight function. A weighted least squares estimation of the facet parameters is applied in order to design the proposed filters. Exemplary application of the proposed filters to fingerprint image segmentation is also presented
Keywords :
filtering theory; fingerprint identification; image segmentation; least squares approximations; parameter estimation; digital image surface; directional derivative approximation; facet model; facet parameters; filters; fingerprint image segmentation; local dominant orientation; partial derivative approximation; two dimensional weight function; weighted least squares estimation; Application software; Digital images; Face detection; Fingerprint recognition; Image segmentation; Least squares approximation; Least squares methods; Optical filters; Polynomials; Surface topography;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941261
