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Titlebook: Image Processing using Pulse-Coupled Neural Networks; Applications in Pyth Thomas Lindblad,Jason M. Kinser Book 2013Latest edition Springer

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Texture Recognition,ried (there exists a texture) then the synchronised behaviour of the pulse segments will disintegrate, and this desynchronisation increases and the system iterates. This desynchronisation is dependent upon the texture of the input and thus texture can be measured and used for segment classification.
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Book 2013Latest editionmation extraction. .The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.
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Book 2013Latest editionews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. .The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly
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The PCNN and ICM,ce the goal here is to build image processing routines and not to exactly simulate the biological system a new model was constructed. This model contained the common foundation without the extra terms and is therefore viewed as the intersection of several cortical models and it is named the Intersecting Cortical Model (ICM).
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