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A systolic algorithm for Euclidean distance transform

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4 Author(s)
Miyazawa, M. ; Brother Ind. Ltd., Nagoya ; Peifeng Zeng ; Iso, N. ; Hirata, T.

The Euclidean distance transform is one of the fundamental operations in image processing. It has been widely used in computer vision, pattern recognition, morphological filtering, and robotics. This paper proposes a systolic algorithm that computes the Euclidean distance map of an N times N binary image in 3N clocks on 2N2 processing cells. The algorithm is designed so that the hardware resources are reduced; especially no multipliers are used and, thus, it facilitates VLSI implementation

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:28 ,  Issue: 7 )