Image segmentation is an important technique in image analysis. Existing methods in image segmentation rely on an artificial neural network to extract the feature of the image. In this study, we ...

Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, ...

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 ...

Explore image segmentation with Python and OpenCV! This beginner-friendly script divides images into parts for easy processing. Ideal for learning computer vision basics. Happy coding! 🖼️🔍🐍 - Pull ...

Image segmentation is a fundamental task in computer vision. Whether finding regions of interest in medical images or highlighting specific objects, the ability to effectively divide an image into ...

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