DocumentCode
304855
Title
Reducing the precision/uncertainty duality in the Hough transform
Author
Strauss, Olivier
Author_Institution
LIRMM, Montpellier, France
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
967
Abstract
The Hough transform is a popular method for detecting complex forms in digital images. However, the technique is not very robust since several parameters that determine the scope of the detection results, such as quantization thresholds and intervals, must first be defined. In the present paper, we propose to enhance shape detection with the Hough transform through fuzzy analysis. One chief drawback of the Hough transform, i.e. the uncertainty/precision duality, is thus reduced
Keywords
Hough transforms; duality (mathematics); fuzzy set theory; image recognition; quantisation (signal); Hough transform; complex forms detection; digital images; fuzzy analysis; quantization intervals; quantization thresholds; shape detection; uncertainty/precision duality; Bibliographies; Digital images; Noise shaping; Pixel; Quantization; Robustness; Shape; Uncertain systems; Uncertainty; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.561066
Filename
561066
Link To Document