Mathematical morphology and deep convolutional neural networks

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Abstract

Mathematical morphology is a classical method of image segmentation. In the past few years, maching learning using deep fully convolutional networks provides started providing extremly good results. We thus introduce morphological operators in those networks in order to improve their performance.