Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks. If you would like to train ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

This is the first experiment of Image Segmentation for Kidney-Tumor based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass) and a 512x512 pixels ...

The color image of the fire hole is key for the working condition identification of the aluminum electrolysis cell (AEC). However, the image of the fire hole is difficult for image segmentation due to ...

"How to crop an image is a decision best made by people." After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it investigated and ...

Abstract: Image segmentation plays an important role in image processing and computer vision. The pulse coupled neural network has been applied in image segmentation. The pulse coupled neural network ...