Muhammad Akmal Butt

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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(More)
This paper presents an overview of selected topics from an emerging new image analysis methodology that starts from continuous models provided by partial differential equations (PDEs) and proceeds with discrete processing of the image data via the numerical implementation of these PDEs on some discrete grid. We briefly discuss basic ideas, examples,(More)
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