Following the 2024 U.S. presidential election, millions of aggravated X users flocked to Bluesky to avoid the partisan vitriol that had overtaken the older social media platform. Designed without an ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
Image segmentation refers to the process of partitioning a digital image into distinct regions that correspond to objects or areas of interest. Classical approaches can be grouped into thresholding, ...
An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow) ...
Abstract: Watershed algorithm is applied widely to image segmentation for its fast computing and high accuracy in locating the weak edges of adjacent regions. But classical watershed segmentation is ...
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