Real time image segmentation using an adaptive thresholding approach

作者: R. Rizo , F. Aznar , M. Pujol , P. Arques

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摘要: The aim of image segmentation is the partition in homogeneous regions. In this paper we propose an approximation based on Markov Random Fields (MRF) able to perform correct real time using colour information. a first simulated annealing approach used obtain optimal segmentation. This will be improved adaptive threshold algorithm, achieve time. experiment results proposed prove its correctness, both for obtained labelling and response

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