Title :
Reducing the precision/uncertainty duality in the Hough transform
Author :
Strauss, Olivier
Author_Institution :
LIRMM, Montpellier, France
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561066
