1991
DOI: 10.1007/bf01230199
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A VLSI architecture for a half-edge-based corner detector

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1992
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Cited by 4 publications
(1 citation statement)
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“…Bhanu et al have designed and implemented a real-time segmentation processor which makes use of a gradient relaxation algorithm (iterative) to assign pixels into classes, based on their gray value and the gray values of neighboring pixels [11]. Ranganathan et al have proposed a VLSI architecture which convolves images with eight 15x15 kernels in order to implement a technique for corner detection which is based on the concept of half-edge and on the first derivative of Gaussian [12]. Cheng et al utilized the theory of dynamic programming to develop a backtracking method for curve detection and designed an associated VLSI architecture which solves the problem in O(n) time, where n is the length of the curve to be found [13].…”
Section: Introductionmentioning
confidence: 99%
“…Bhanu et al have designed and implemented a real-time segmentation processor which makes use of a gradient relaxation algorithm (iterative) to assign pixels into classes, based on their gray value and the gray values of neighboring pixels [11]. Ranganathan et al have proposed a VLSI architecture which convolves images with eight 15x15 kernels in order to implement a technique for corner detection which is based on the concept of half-edge and on the first derivative of Gaussian [12]. Cheng et al utilized the theory of dynamic programming to develop a backtracking method for curve detection and designed an associated VLSI architecture which solves the problem in O(n) time, where n is the length of the curve to be found [13].…”
Section: Introductionmentioning
confidence: 99%