Integrating Mathematical Morphology within Deep Convolutional Neural Networks

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Abstract

Image Segmentation is the process of identifying the outline of objects in the composition of an image. In recent years, the use of Deep Convolutional Neural Networks for the purpose of Image Segmentation has spiked, with results outperforming more classical approaches. We will explore the implementation and potential applications of integrating filters from the theory of Mathematical Morphology within the structure of a Deep Convolutional Neural Network.