Title :
Grouping edge points into line segments by sequential Hough transformation
Author :
Zhang, Xiaofeng ; Burkhardt, Hans
Author_Institution :
Dept. of Comput. Sci., Freiburg Univ., Germany
Abstract :
An algorithm to group edge points into digital line segments with Hough transformation is described. The edge points are mapped onto the parameter domain discretized at specific intervals, on which peaks appear to represent different line segments. By modeling each peak as a Gaussian function in the parameter domain, a region to which the edge points are supposed to be mapped is determined. Then the edge points are grouped and the parameters for a line segment are computed. For the edges including multiple line segments, a sequential Hough transformation for detecting peaks one by one in the parameter domain is implemented, and the points from the region around each peak are grouped, thus the line segments are described. Experiments show the robustness of the algorithm implemented on both the generated edges disturbed by different noise levels and real images taken from an indoor environment
Keywords :
Gaussian processes; Hough transforms; edge detection; image representation; Gaussian function; digital line segments; edge detection; edge points grouping; line representation; sequential Hough transform; Computer science; Face detection; Image edge detection; Image processing; Image segmentation; Indoor environments; Noise level; Noise measurement; Noise robustness; Pattern recognition;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903634