DocumentCode
2464415
Title
Sampling density for image analysis
Author
Young, Ian T.
Author_Institution
Fac. of Appl. Phys., Delft Univ. of Technol., Netherlands
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
840
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547194
Filename
547194
Link To Document