Title :
Sampling density for image analysis
Author_Institution :
Fac. of Appl. Phys., Delft Univ. of Technol., Netherlands
Abstract :
We show that the convergence of measures for object size to their “true values” can be analyzed by looking at the pixels (or voxels) on the border of the object. This leads to results for a proper choice for the sampling density of the asymptotic form CV=σμ=k·Q-(N+1/2) where Q is the sampling density (pixels per object “diameter”) and N is the number of spatial dimensions
Keywords :
Nyquist criterion; computer vision; edge detection; filtering theory; image sampling; quantisation (signal); Nyquist sampling; convergence; image filtering; image measurement; multidimensional image analysis; object contour; object size; sampling density; spatial dimensions; Area measurement; Image analysis; Image sampling; Noise measurement; Physics; Quantization; Sampling methods; Signal sampling; Size measurement; World Wide Web;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547194
