Sharp: a Shape recognition System and its Parallel implementation
Sharp: a Shape recognition System and its Parallel implementation
Date
1995
Authors
Ravi Kumar, C P
Sethi, Rajender
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Abstract
A parallel algorithm for shape recognition is presented along with
its implementation on a distributed memory muhiprocessor. Shape
recognition is one of the fundamental problems of computer
vision. We consider a shape to be composed of a set of small
straight line segments tangential to the object. The recognition
problem is to determine whether the test image contains a specified
reference shape or not. The straight line Hough transform
(SLHT) has been used to detect reference shapes. A signaturebased
parallel algorithm called SHARP is developed for shape
recognition using SLHT on a distributed memory multiprocessor
system. In the SHARP algorithm, the (0, r) space is divided among
processors. The SHARP algorithm has been implemented on a
Meiko transputer with 32 nodes. We analyse the performance of
the parallel algorithm using both theoretical and experimental
techniques.
Description
Keywords
shape recognition,, parallel algorithm,, Hough transform