Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

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) ...

This repository includes an enhanced lightweight grid-based ground segmentation algorithm that efficiently separates ground points from obstacle points in 3D point clouds. The algorithm is designed ...

Social media algorithms are constantly evolving, causing significant challenges for businesses trying to maintain their online presence. This article explores the real-world impacts of these changes, ...

LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image ...

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, ...

Abstract: In recent years, the watershed line has emerged as a primary tool of mathematical morphology for image segmentation, though the application of watershed algorithms to an image is often ...