Abstract: Edge detection is analyzed as a problem in cost minimization. A cost function is formulated that evaluates the quality of edge configurations.
The authors cast edge detection as a problem in cost minimization. This is achieved by the formulation of a cost function that evaluates the quality of edge ...
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Edge detection is analyzed as a problem in cost minimization. A cost function is formulated that evaluates the quality of edge configurations.
Abstract-In this paper, we cast edge detection as a problem in cost minimization. This is achieved by the formulation of a cost function that evaluates the ...
This cost function is made of desirable characteristics of edges such as thickness, continuity, length, region dissimilarity. And we use a simulated annealing ...
This is achieved by the formulation of a cost function that evaluates the quality of edge configurations. The function is a linear sum of weighted cost factors.
A cost minimization approach to edge detection using simulated annealing ... A cost minimization approach to edge detection using simulated annealing. 著者標目.
It measures the relative quality between the configurations. The detection of edges is accomplished by a heuristic iterative search algorithm which uses the CCF ...
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The cost function is minimized using a simulated annealing algorithm. This approach ... A cost minimization approach to edge detection using simulated annealing.
Jan 12, 1988 · state space S is generated using the Simulated Annealing algorithm described above. The convergence in probability of the chain to the set ...