IEEE

Improved watershed algorithm for dowels image segmentation

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 ...
GitHub

Thakar-Advait/Watershed-Algorithm

This is a simplified, individual-level Python project suitable for university evaluation. It demonstrates marker-based watershed segmentation to separate touching or overlapping shapes. Why watershed ...
GitHub

This project implements the Watershed algorithm in OpenCV which is used for image segmentation, particularly useful for separating touching or overlapping objects in images

First, essential libraries like cv2 for OpenCV functions, matplotlib.pyplot for image display, and numpy for numerical operations are imported. The display function is defined to visualize images ...
Scientific Research Publishing

Y. Y. Wu and X. K. Yue, “Image Segmentation for Space Target Based-on Watershed Algorithm,” Computer Simulations, Vol. 2, 2011, pp. 300-303.

ABSTRACT: In video surveillance, there are many interference factors such as target changes, complex scenes, and target deformation in the moving object tracking. In order to resolve this issue, based ...
Scientific Research Publishing

A. Bieniek and A. Moga, “An Efficient Watershed Algorithm Based on Connected Conponents,” Pattern Recognition, Vol. 33, No. 6, 2000, pp. 907-916. doi:10.1016/S0031-3203(99 ...

ABSTRACT: The cell overlapping and adhesion phenomenon often exists in cell image processing. Separating overlapped cell into single ones is of great important and difficult in cell image quantitative ...