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

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 ...
GitHub

Image Segmentation with Watershed Algorithm {#tutorial_js_watershed}

Any grayscale image can be viewed as a topographic surface where high intensity denotes peaks and hills while low intensity denotes valleys. You start filling every isolated valleys (local minima) ...
Scientific Research Publishing

J. M. Zhang, J. Zhang, and J. Wang, “Watershed Segmentation Algorithm Based on Gradient Modification and Region Merging”, Journal of Computer Applications, Vol. 31, No. 2 ...

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 ...
LinkedIn

Stroke Detection & Visualization with Watershed Algorithm

Mini-Project : HIRA -MAZIN MUNEER-Ajmal Shan. P 🛠 Phase 2: Stroke Detection & Visualization Enhancing Image Processing Implemented grayscale conversion and thresholding to highlight stroke-affected ...