GEORGE, Wash. — Watershed Festival, the largest country music festival in Washington, is canceling its 2026 event, according to officials. "After 13 incredible years of country music and community at ...

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) ...

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

Colour quantization, the process of reducing the number of distinct colours in an image while maintaining visual fidelity, is a cornerstone of digital image processing and computer graphics. Rooted in ...

Morphological cell analysis offers a means of identification and classification of key morphological measurement parameters linked to cell bioactivity and cell health and, as such, it is of great ...

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 ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

This project implements three image segmentation algorithms - Region Growing, Watershed, and K-Means, to separate an object from its background, evaluated using the Jaccard Similarity Coefficient.

Current 3D imaging methods, including optical projection tomography, light-sheet microscopy, block-face imaging, and serial two photon tomography enable visualization of large samples of biological ...

Abstract: Cell image segmentation is an important step in medical image processing and analysis system. The watershed algorithm is usually used to segment cells in the image. However, it is difficult ...