We employ a variety of generative adversarial networks and used their capability of image translation to perform image segmentation. The generative adversarial network is employed to translate the ...

Image segmentation is a relevant research area in Computer Vision, and several methods of segmentation have been proposed in the last 40 years. This paper presents the implementation using the GUI ...

Colour segmentation is a key step in understanding how computational systems interpret and categorise colours within images. The aim of this study is to investigate the computational processes ...

Medical image segmentation has important auxiliary significance for clinical diagnosis and treatment. Most of existing medical image segmentation solutions adopt convolutional neural networks (CNNs).

Matlab segmentation code used to segment images of biofilms. Description This program segments 3d confocal images of dense biofilms into its single cell constituents. The algorithm takes in a ...