Title :
Improvement of the curvature computation
Author :
V. Hlavac;T. Pajdla;M. Sommer
Author_Institution :
Dept. of Control Eng., Czechoslovak Acad. of Sci., Prague, Czech Republic
Abstract :
The improvement of computing the the curvature of the digitized curves is presented. The standard scheme, i.e. computing curvature using convolution with the truncated Gaussian kernel, was studied. First, we show that systematic bias caused by curvature smoothing can be removed. Second, we demonstrate that large portion of the error has roots in other phenomena (i.e. anisotropy of the raster, limited size of the Gaussian, numerical integration of the convolution, and discretization).
Keywords :
"Convolution","Kernel","Smoothing methods","Anisotropic magnetoresistance","Performance analysis","Control engineering","Filters","Equations","Error correction","Fourier transforms"
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576349