DocumentCode
304685
Title
Parallel Hough transform on hyper-pyramid architecture: a divide and conquer approach
Author
Dehili, A. ; Akil, M. ; Dujardin, E. ; Zahirzami, S. ; Hamard, K.
Author_Institution
Groupe ESIEE Lab. I.A.A.I., Noisy le Grand, France
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
125
Abstract
We present a parallel divide-and-conquer approach for detecting line segments on coarse grained architectures in general, and a particular solution on a hyper-pyramid structure. We use a method which extract directly the segments from the image without quantification such as in the classical Hough transform. The proposed solution is implemented on an environment on top of PVM
Keywords
Hough transforms; divide and conquer methods; edge detection; parallel algorithms; parallel architectures; PVM; coarse grained architectures; divide and conquer approach; edge detector; geometric shapes detection; hyperpyramid architecture; hyperpyramid structure; line segment detection; parallel Hough transform; Circuit topology; Computer vision; Equations; Image edge detection; Image segmentation; Pixel; Routing; Shape; Switches; Very large scale integration;
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.1996.560618
Filename
560618
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