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: 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 ...

Counts, sizes, and provides basic size metrics of objects in an image of a population sample. Designed for oblong objects on contrasting background. Windows, Linux, macOS ...

Abstract: In order to enable the rapid extraction of target feature information from radar echo images, a target feature extraction algorithm based on OpenCV is proposed in this study. The algorithm ...

Abstract: Watershed algorithm is an effective and efficient image segmentation method. However, due to the influence of noise and fine-grained of flat region, too many local extremum can be detected ...