Optimum Design of Chamfer Distance
نویسندگان
چکیده
The distance transform has found many applications in image analysis. The Euclidean distance transform is computationally very intensive, and eecient discrete algorithms based on chamfer metrics are used to obtain its approximations. The chamfer metrics are selected to minimize an approximation error. In this paper, a new approach is developed to nd optimal chamfer local distances. This new approach gives smaller approximation error than found in previous work, is easier to visualize, and can be easily extended to chamfer metrics that use large neighborhoods.
منابع مشابه
Optimum design of chamfer distance transforms
The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desired Euclidean distance transform at a lower computational cost. They can also give integer-valued distances that are more suitable for several digital image processing tasks. The local distances used to compute a chamfer ...
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