Title :
Pyramidal hierarchical relaxation
Author :
Lau, Wing Hung ; Hancock, E.
Author_Institution :
Dept. of Comput., Hong Kong Polytech., Hong Kong
Abstract :
Probabilistic relaxation has been shown to be a powerful method for extracting features from images [Hancock and Kittler, 1990]. In the present paper, the authors describe an hierarchical approach to the probabilistic relaxation. There are two main ideas in the work. Firstly, the authors use pyramidal constraints for the extraction of major line features. Secondly, they partition the dictionary items according to the angle formed by the labels in each of the dictionary items to reduce the processing time for traversing the dictionary. The new method is proved to be more efficient than the original method and it also produces a more refined ridge map
Keywords :
edge detection; feature extraction; geography; dictionary items; line features; probabilistic relaxation; processing time; pyramidal constraints; pyramidal hierarchical relaxation; ridge map; Computer science; Dictionaries; Feature extraction; Filters; Information filtering; Information processing; Labeling; Refining; Relaxation methods; Shape;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344798
