This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...

Abstract: Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of ...

Yearly Covid-19 Booster Recommendations in Canada, Europe, and Australia. Although the rapid development of multiple Covid-19 vaccines in 2020 represents a major scientific, medical, and regulatory ...

Pytorch implementation of Final Degree Thesis "Diffusion Model Based Brain Tumor Segmentation Enhanced With Inpainting Method". The code of the repository is adapted from the paper Diffusion Models ...

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...