DocumentCode
2390901
Title
Modelling digital straight lines
Author
Gross, Ari ; Latecki, Longin Jan
Author_Institution
Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
156
Abstract
We present a realistic mathematical model of a digitized edge which handles both blurring and arbitrary thresholding. We show that a thresholded digital image of a blurred half-plane obtained for some unknown threshold value is equal to the image of a perfectly focused half-plane with the same slope obtained by object boundary quantisation. This result implies that recovering the slope of a blurred half-plane, given its image obtained for some unknown threshold value, reduces to recovering the slope of a perfectly focused half-plane under object boundary quantization. Therefore, the previous results and algorithms for the recovery of straight lines, which mainly assumed object boundary quantization, are also valid if we assume this more realistic digitization model
Keywords
edge detection; image segmentation; blurred half-plane; blurring; digital straight lines; object boundary quantisation; object boundary quantization; perfectly focused half-plane; thresholded digital image; thresholding; Computer science; Digital images; Educational institutions; Focusing; Image analysis; Image edge detection; Image segmentation; Mathematical model; Object recognition; Quantization;
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.1996.546743
Filename
546743
Link To Document