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) ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

With the ongoing surge in global coastal development, understanding shoreline dynamics has become a critical issue, given the inherent vulnerability of coastal fringes to significant mobility.

Abstract: In order to overcome the problem of over-segmentation, a novel algorithm of watershed segmentation based on morphological gradient reconstructing is proposed in this paper. In the algorithm, ...

1 College of Mathematics and Computer Science, Dali University, Dali, China 2 School of Electronic Information, Xijing University, Xian, China Introduction: Image instance segmentation is essential ...

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 ...

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 ...